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Breast Cancer Detection with Thermal Images and using Deep Learning
Amit Sarode,Vibha Bora International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
According to most experts and health workers, a living creature's body heat is little understood and crucial in the identification of disorders. Doctors in ancient medicine used wet mud or slurry clay to heal patients. When either of these progressed throughout the body, the area that dried up first was called the infected part. Today, thermal cameras that generate images with electromagnetic frequencies can be used to accomplish this. Thermography can detect swelling and clot areas that predict cancer without the need for harmful radiation and irritational touch. It has a significant benefit in medical testing because it can be utilized before any observable symptoms appear. In this work, machine learning (ML) is defined as statistical approaches that enable software systems to learn from data without having to be explicitly coded. By taking note of these heat scans of breasts and pinpointing suspected places where a doctor needs to conduct additional investigation, ML can assist in this endeavor. Thermal imaging is a more cost-effective alternative to other approaches that require specialized equipment, allowing machines to deliver a more convenient and effective approach to doctors.
Color Image Compression using DKT-DCT Hybrid Wavelet Transform in Various Color Spaces
H.B. Kekre,Tanuja Sarode,Prachi Natu 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
This paper proposes image compression in different color spaces using hybrid wavelet transform. To generate hybrid wavelet transform Discrete Kekre transform (DKT) and Discrete Cosine transform (DCT) are selected as component transforms. Due to high energy compaction property, DCT is selected as local component transform that contributes to local features of an image. Hybrid wavelet transform extracts features of both the component transforms and hence gives less error and better image quality. Component transforms of different sizes are selected to generate hybrid wavelet of size 256x256 and applied on images. In RGB color space 16-16 combination i.e. hybrid wavelet generated using DKT 16x16 and DCT 16x16 gives least error than other combinations like 8-32, 32-8 and 64-4. RMSE, MAE, AFCPV and Structural Similarity Index (SSIM) are the error metrics used to measure reconstructed image quality. Different color spaces have been used to observe the performance of this hybrid wavelet transform. In KLUV color space minimum RMSE and MAE is observed than RGB, YUV, YCbCr, XYZ and YIQ color space. Whereas RGB color space gives lowest AFCPV than other color spaces using 16-16 component size. Hence SSIM is used to eliminate this inconsistency in these traditional error metrics. KLUV color space gives highest SSIM 0.998 which is closest to maximum one proving it as a better choice than other color spaces.
H. B. Kekre,Tanuja sarode,Shachi Natu 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6
In this paper a watermarking technique using hybrid wavelet transforms obtained from sinusoidal and non-sinusoidal component orthogonal transforms is proposed. Sinusoidal transform DCT and non-sinusoidal transforms Walsh, Haar and Discrete Kekre Transform are used to generate hybrid wavelet transforms namely DCT-Walsh, Walsh-DCT, DCT-Haar, Haar-DCT, DCT-DKT and DKT-DCT. Size of each component transform matrix is varied suitably from 4, 8, 16, 32, and 64 to generate hybrid wavelet transform matrix for host and watermark. The best size combination is further applied column wise and row wise to host and watermark and to embed the watermark middle frequency regions of host is selected. Embedding is first done without sorting the hybrid wavelet transform coefficients of host and watermark and then sorting is applied to observe the difference in the achieved robustness. Performance of proposed technique is evaluated against various attacks to decide whether sinusoidal transform when used as base transform matrix or local transform matrix is more robust.
( Prashant Borkar ),( M. V. Sarode ),( L. G. Malik ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.2
Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.
Ajay Kumar Raj,Kiran Bharat Lokhande,Kratika Khunteta,Sachin Chakradhar Sarode,Nilesh Kumar Sharma 대한암예방학회 2024 Journal of cancer prevention Vol.29 No.2
Cancer drug resistance is associated with metabolic adaptation. Cancer cells have been shown to implicate acetylated polyamines in adaptations during cell death. However, exploring the mimetic of acetylated polyamines as a potential anticancer drug is lacking. We performed intracellular metabolite profiling of human breast cancer MCF-7 cells treated with doxorubicin (DOX), a well known anticancer drug. A novel and in-house vertical tube gel electrophoresis assisted procedure followed by LC-HRMS analysis was employed to detect acetylated polyamines such as N1-acetylspermidine. We designed a mimetic N1-acetylspermidine (MINAS) which is a known substrate of histone deacetylase 10 (HDAC10). Molecular docking and molecular dynamics (MDs) simulations were used to evaluate the inhibitory potential of MINAS against HDAC10. The inhibitory potential and the ADMET profile of MINAS were compared to a known HDAC10 inhibitor Tubastatin A. N1-acetylspermidine, an acetylated form of polyamine, was detected intracellularly in MCF-7 cells treated with DOX over DMSO-treated MCF-7 cells. We designed and curated MINAS (PubChem CID 162679241). Molecular docking and MD simulations suggested the strong and comparable inhibitory potential of MINAS (–8.2 kcal/ mol) to Tubastatin A (–8.4 kcal/mol). MINAS and Tubastatin A share similar binding sites on HDAC10, including Ser138, Ser140, Tyr183, and Cys184. Additionally, MINAS has a better ADMET profile compared to Tubastatin A, with a high MRTD value and lower toxicity. In conclusion, the data show that N1-acetylspermidine levels rise during DOX-induced breast cancer cell death. Additionally, MINAS, an N1-acetylspermidine mimetic compound, could be investigated as a potential anticancer drug when combined with chemotherapy like DOX.
MAINWAVE : Multi Agents and Issues Negotiation for Web using Alliance Virtual Engine
Debajyoti Mukhopadhyay,Saurabh Deochake,Shashank Kanth,Subhadip Chakraborty,Suresh Sarode 한국산학기술학회 2012 SmartCR Vol.2 No.5
This paper showcases an improved architecture for a complete negotiation system that permits multi party multi issue negotiation. The concepts of multithreading and concurrency has been utilized to perform parallel execution. The negotiation history has been implemented that stores all the records of the messages exchanged for every successful and rejected negotiation process and implements the concepts of artificial intelligence in determination of proper weights for a valid negotiation mechanism. The issues are arranged in a hierarchical pattern so as to simplify the representation and priorities are assigned to each issue, which amounts to its relative importance. There is refinement of utilities by consideration of the non-functional attributes. So as to avoid overloading of the system, a maximum number of parties are allowed to participate in the entire mechanism and if more parties arrive, they’re put into a waiting queue in accordance to certain criteria such as the first come first serve or the relative priorities. This helps in fault tolerance. It also supports the formation of alliances among the various parties while carrying out a negotiation.
Bhatkar Devyani,Ananda Nistha,Lokhande Kiran Bharat,Khunteta Kratika,Jain Priyadarshini,Hebale Ameya,Sarode Sachin C.,Sharma Nilesh Kumar 대한암예방학회 2023 Journal of cancer prevention Vol.28 No.3
There is a lack of evidence regarding the use of betel quid (BQ) and its potential contribution to oral cancer. Limited attention has been directed towards investigating the involvement of BQ-derived organic acids in the modulation of metabolic-epigenomic pathways associated with oral cancer initiation and progression. We employed novel protocol for preparing saliva-amalgamated BQ filtrate (SABFI) that mimics the oral cavity environment. SABFI and saliva control were further purified by an in-house developed vertical tube gel electrophoresis tool. The purified SABFI was then subjected to liquid chromatography-high resolution mass spectrometry analysis to identify the presence of organic acids. Profiling of SABFI showed a pool of prominent organic acids such as citric acid. malic acid, fumaric acid, 2-methylcitric acid, 2-hydroxyglutarate, cis-aconitic acid, succinic acid, 2-hydroxyglutaric acid lactone, tartaric acid and β-ketoglutaric acid. SABFI showed anti-proliferative and early apoptosis effects in oral cancer cells. Molecular docking and molecular dynamics simulations predicted that SABFI-derived organic acids as potential inhibitors of the epigenetic demethylase enzyme, Ten-Eleven Translocation-2 (TET2). By binding to the active site of α-ketoglutarate, a known substrate of TET2, these organic acids are likely to act as competitive inhibitors. This study reports a novel approach to study SABFI-derived organic acids that could mimic the chemical composition of BQ in the oral cavity. These SABFI-derived organic acids projected as inhibitors of TET2 and could be explored for their role oral cancer