IEEE

Rethinking Image Histogram Matching for Image Classification

Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
IEEE

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
IEEE

Efficient and Interpretable Otoscopic Image Classification via Distilled CNN With Adaptive Channel Attention

Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...
CNN

Chilling images are the biggest break so far in the Nancy Guthrie case. Here’s what stands out to law enforcement experts

Video and images showing an armed, masked individual outside the Tucson, Arizona, home of Nancy Guthrie have given new life to the search for the 84-year-old – and may offer investigators important ...
IEEE

Cross-Architecture Contrastive Learning for Few-Shot Hyperspectral Image Classification

Abstract: Hyperspectral image classification is a fundamental task in remote sensing with broad applications in precision agriculture, environmental monitoring, and related fields. However, existing ...
IEEE

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
GitHub

PyTorch CNN Architecture Experimentation on Mini-ImageNet with Model Interpretability

This project presents a comprehensive deep learning study focused on Convolutional Neural Network (CNN) architecture experimentation and model interpretability using the Mini-ImageNet dataset. The ...
IEEE

Multi-scale Classifier Ensemble Knowledge Distillation for Remote Sensing Image Classification

Abstract: To address the problems of significant remote sensing image ground object scale differences and traditional classification models struggling to balance accuracy and lightweight performance, ...
CNN

Trump says heavy bruise on his left hand came after he ‘clipped it on the table’

President Donald Trump said Thursday that a large bruise on his left hand came after he bumped it on furniture in Switzerland. “I clipped it on the table,” he told CNN’s Samatha Waldenberg aboard Air ...