Scientific Research Publishing

Desai, A. and Mahto, R. (2025) Multi-Class Classification of Breast Cancer Subtypes Using Resnet Architectures on Histopathological Images. Journal of Imaging, 11, Article 284.

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
GitHub

Deep Image Colorization: ResNet-U-Net GAN with Perceptual Loss and Retrieval Hints

This project implements a conditional Generative Adversarial Network (cGAN) for automatic grayscale image colorization, inspired by Pix2Pix. The goal is to predict chrominance (ab channels in Lab ...
PC Gamer

The new Fallout Season 2 images tease more pre-war flashbacks—which was honestly the best part of Fallout Season 1

Fallout Fallout: New Vegas remaster hopium goes off like Mount Vesuvius as Iron Galaxy teases 'what's coming next' with a very famous loading screen Fallout Captain Obvious time: The Fallout TV series ...
GitHub

Problem reproducing Tiered-ImageNet and FC100 (ResNet) results

Hello, thank you for your great work and for releasing the code! I have been reproducing the results of your paper using the provided code. Most datasets can be reproduced successfully: MiniImageNet ...
IEEE

UResNet-Based Enhancement of Underwater Images Through Variational Contrast and Saturation

Abstract: Underwater imaging is an ever trending and evolving field in which the images obtained are subjected to enhancement to identify the critical features of the underwater world. Various ...