Advancing breast ultrasound diagnostics through hybrid deep learning models

A Kiran, JVN Ramesh, IS Rahat, MAU Khan… - Computers in Biology …, 2024 - Elsevier
Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …

An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case

LK Singh, M Khanna, R Singh - Multimedia Tools and Applications, 2024 - Springer
When contemplating the improvement of overall performance in machine learning (ML)
models, a critical strategy for optimizing data preparation is feature selection (FS). There has …

An Efficient Denoising of Medical Images Through Convolutional Neural Network

K Soni Sharmila, SP Manikanta… - … on Cognitive Computing …, 2023 - Springer
Denoising medical images is a critical step in enhancing image quality and improving
diagnostic accuracy. In this work, an efficient denoising method has been proposed for …

Multi‐model deep learning system for screening human monkeypox using skin images

K Gupta, V Bajaj, DK Jain, A Hussain - Expert Systems, 2024 - Wiley Online Library
Purpose Human monkeypox (MPX) is a viral infection that transmits between individuals via
direct contact with animals, bodily fluids, respiratory droplets, and contaminated objects like …

Multi-Model Deep Learning System for Screening Human Monkeypox Using Skin Images

DK Jain, K Gupta, V Bajaj, A Hussain - Authorea Preprints, 2024 - advance.sagepub.com
sion dataset. Results: By amalgamating features extracted from all three CNNs and utilizing
the medium Gaussian kernel of the SVM classifier, our proposed system achieves an …

Unimodal Approach for Detection and Classification of Breast Cancer Using Mask Scoring R-CNN

P Kumar, MS Deepak, SD Suchandra… - … on Cognitive, Green …, 2024 - ieeexplore.ieee.org
Breast cancer, a highly aggressive disease affecting women, presents abnormalities like
masses, calcification, and lumps, causing more deaths than any other cancer. Early …