IEEE

An Experimental Model to Predict Bone Cancer Disease by Using Hybrid Learning Principles with Image Processing Technique

Abstract: Bone cancer is a rare but aggressive disease that requires early and accurate detection to ensure better outcomes for patients. This paper presents a novel approach for predicting bone ...
eLife

Contractile peri-nuclear actomyosin network repositions peripheral and polar chromosomes to promote early kinetochore–microtubule interactions

This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
IEEE

Optimized Hybrid Model Integrating CNN and Image Processing for Lung Cancer

Abstract: The number of deaths related to cancer, and particularly the well-known lung cancer, remains the leading cause of morbidity in most regions of the globe, and early detection of the disease ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...