Distillation Can Make AI Models Smaller and Cheaper

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
Frontiers

Analytical computation for segmentation and classification of lumbar vertebral fractures

Spinal health forms the cornerstone of the overall human body functionality with the lumbar spine playing a critical role and prone to various types of injuries due to inflammation and diseases, ...
IEEE

Pap Smear Image Segmentation and Classification Methods For Cervical Cancer Detection Using Machine Learning

Abstract: Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
TWCN Tech News

How to capture Windows Image using Microsoft Deployment Toolkit (MDT)

Microsoft Deployment Toolkit is designed to streamline the deployment of Windows operating systems, applications, and configurations across multiple devices. If you want to capture Windows Image using ...
IEEE

Brain MRI Image Segmentation and Classification using PCA-SVM and CNN

Abstract: Brain tumor is a malicious growth on surface of the brain or within the brain tissues, it is a life-threatening disease which can spread to other vital parts with slow pace, if not detected ...
GitHub

jimsyjohnson/Multi-task-Deep-Learning-for-Automatic-Cancer-Segmentation-and-Classification-in-3D-CT-Scans

This project implements a multi-task nnU-Net v2 pipeline for pancreas and lesion segmentation from 3D CT scans. The model leverages a shared encoder for feature extraction and dual decoders for ...