Search Results - "Mathai PP"

Deep Learning Based Segmentation Methods Applied to DDSM Images: A Review.

Authors: Rani, Jyoti Singh, Jaswinder Virmani, Jitendra

Source: Archives of Computational Methods in Engineering; Jun2025, Vol. 32 Issue 5, p3169-3189, 21p

Review of AI & XAI-based breast cancer diagnosis methods using various imaging modalities.

Authors: Karthiga, R. Narasimhan, K. V, Thanikaiselvan et al.

Source: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 5, p2209-2260, 52p

Deep learning approaches to detect breast cancer: a comprehensive review.

Authors: Sharafaddini, Amir Mohammad Esfahani, Kiana Kouhpah Mansouri, Najme

Source: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p24079-24190, 112p

A new intelligent hybrid feature extraction model for automating cancer diagnosis: a focus on breast cancer.

Authors: Rahmani, Roozbeh Akbarpour, Shahin Farzan, Ali et al.

Source: Journal of Supercomputing; Apr2025, Vol. 81 Issue 5, p1-49, 49p

A country-wide survey into the composition and transformation of short-chain organic acids in anaerobic sludge digesters at wastewater treatment plants in Denmark.

Authors: Li, Zijun Dueholm, Morten Kam Dahl Jiang, Chenjing et al.

Source: Scientific Reports. 7/11/2025, Vol. 15 Issue 1, p1-12. 12p.

Deep learning for personalized health monitoring and prediction: A review.

Authors: Damaševičius, Robertas Jagatheesaperumal, Senthil Kumar Kandala, Rajesh N. V. P. S. et al.

Source: Computational Intelligence; Jun2024, Vol. 40 Issue 3, p1-37, 37p

Deep transfer learning based hierarchical CAD system designs for SFM images.

Authors: Rani, Jyoti Singh, Jaswinder Virmani, Jitendra

Source: Journal of Medical Engineering & Technology; Nov2024, Vol. 48 Issue 8, p279-295, 17p

Reinforcement learning (RL)-based semantic segmentation and attention based backpropagation convolutional neural network (ABB-CNN) for breast cancer identification and classification using mammogram images.

Authors: Thakur, Neha Kumar, Pardeep Kumar, Amit

Source: Neural Computing & Applications; Aug2024, Vol. 36 Issue 24, p14797-14823, 27p

Detection and classification of breast cancer in mammogram images using entropy-based Fuzzy C-Means Clustering and RMCNN.

Authors: Kalam, Rehna Thomas, Ciza

Source: Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 24, p64853-64878, 26p

A novel machine learning model for breast cancer detection using mammogram images.

Authors: Kalpana, P. Selvy, P. Tamije

Source: Medical & Biological Engineering & Computing; Jul2024, Vol. 62 Issue 7, p2247-2264, 18p

Improved bald eagle search optimization with entropy-based deep feature fusion model for breast cancer diagnosis on digital mammograms.

Authors: Ashwini, P. Suguna, N. Vadivelan, N.

Source: Multimedia Tools & Applications; Apr2024, Vol. 83 Issue 14, p41785-41803, 19p

RoughSet based Feature Selection for Prediction of Breast Cancer.

Authors: Bhukya, Hanumanthu Sadanandam, M

Source: Wireless Personal Communications; Jun2023, Vol. 130 Issue 3, p2197-2214, 18p

Seasonal discrepancy of airborne fungal diversity and community structure in Lentinula edodes factory.

Authors: Gong, Wenbing Qiu, Kaixiao Zhuang, Zhen et al.

Source: Mycology: An International Journal on Fungal Biology. Mar2025, Vol. 16 Issue 1, p344-356. 13p.

Assessing accuracy and specificity of faecal source library for microbial source-tracking, using SourceTracker as case study.

Authors: Lim, Timothy J Y Delgado, Yussi M Palacios Lintern, Anna et al.

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-5. 5p.

An evaluation of research on crayfish invasion pathways in the Great Lakes region.

Authors: Ota, William Budnick, William Keller, Reuben et al.

Source: Aquatic Invasions. 2025, Vol. 20 Issue 4, p427-494. 18p.

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks.

Authors: Iqbal, Saeed N. Qureshi, Adnan Li, Jianqiang et al.

Source: Archives of Computational Methods in Engineering; Jun2023, Vol. 30 Issue 5, p3173-3233, 61p

A REVIEW OF DEEP LEARNING AND MACHINE LEARNING TECHNIQUES FOR BRAIN AND BREAST CANCER DETECTION: CHALLENGES AND FUTURE DIRECTIONS.

Authors: Dhole, Nandini V. Dixit, Vaibhav V. Mahajan, Rupesh G.

Source: Journal of Mechanics in Medicine & Biology. Sep2025, Vol. 25 Issue 7, p1-43. 43p.

Community structure of endophytic bacteria of Sargassum thubergii in the intertidal zone of Qingdao in China.

Authors: Li, Yang Wang, Jing Sun, Tao et al.

Source: AMB Express. 4/13/2024, Vol. 14 Issue 1, p1-14. 14p.

Reliable plagiarism detection system based on deep learning approaches.

Authors: El-Rashidy, Mohamed A. Mohamed, Ramy G. El-Fishawy, Nawal A. et al.

Source: Neural Computing & Applications; Nov2022, Vol. 34 Issue 21, p18837-18858, 22p

A Systematic Literature Review of Breast Cancer Diagnosis Using Machine Intelligence Techniques.

Authors: Nemade, Varsha Pathak, Sunil Dubey, Ashutosh Kumar

Source: Archives of Computational Methods in Engineering; Oct2022, Vol. 29 Issue 6, p4401-4430, 30p