EfficientNet -driven compound scaling for performance enhancement of CNNs in multimodal cancer imaging

Deepashri & Vinutha: Deep Learning-Based Enhancement of Low-Field MRI Using CNN-GAN for … Deep Learning-Based Enhancement of Low-Field MRI Using CNN-GAN for High-Quality Image Reconstruction

GPT Fusion: Reasoning-Based Integration of Specialized Convolutional Neural Networks for Melanoma Diagnosis

These findings demonstrate that LLMs can provide greater clinical value as reasoning-based integrators of specialized AI systems than as standalone image classifiers for melanoma diagnosis.

An Innovative Deep Learning Framework Leveraging Transfer Learning for Breast Cancer Classification

One of the most prevalent medical conditions along with one of the main causes of fatalities remains breast cancer among women worldwide. Early detection and accurate classification are vital to improving results of treatment and rates of patient survival. In this study, we propose a new deep learning framework that em...

COMPARISON OF CNN AND SVM ALGORITHMS FOR BONE CANCER DISEASE CLASSIFICATION BASED ON IMAGE DATA

Disease Diagnosis Based on Deep Learning and Transfer Learning: Evolution from CNN to SAM

. Medical image analysis is crucial for clinical diagnosis. Recent advances in deep learning, especially convolutional neural networks (CNNs), have driven progress in this field. However, challenges such as high annotation costs, small sample sizes, and cross-center data heterogeneity limit model performance. Transfer...

Deep Learning for Medical Image Enhancement: A Systematic Review of Architectures, Imaging Modalities, and Open Challenges

Medical image enhancement plays a pivotal role in improving diagnostic accuracy across various healthcare applications. In recent years, deep learning (DL) techniques have emerged as powerful tools for enhancing medical images, outperforming traditional image processing algorithms. This systematic review provides a com...