Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

High-precision liver and tumor segmentation is a cornerstone of digital oncology, yet its clinical deployment remains constrained by two persistent challenges: the scarcity of pixel-level annotations ...

Data scarcity and class imbalance remain critical challenges in medical image analysis, particularly for brain tumor MRI segmentation, where subcomponents such as enhancing tumor, non-enhancing tumor, ...

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial intelligence (AI) pathology analysis system that can accurately recognize ...

medical_segmentation_system/ ├── api/ ├── classical_pipeline/ ├── data/ ├── dl_pipeline/ ├── evaluation/ ├── features ...

Abstract: Brain tumor segmentation, Delineating tumor areas from a fin-n-healthy brain tissue in medical pictures is critical for proper diagnosis, planning of treatment, and observing alignment ...

Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models First, we pretrained the encoder of a transformer-based network using a self-supervised ...

Hormone replacement therapy (HRT) does not increase breast cancer risk in BRCA1/BRCA2 carriers, with estrogen-alone formulations showing a lower risk. The study used a matched-pair design to control ...

Abstract: The proposed work focuses on using LadderNet for Brain Tumor segmentation using MRI signals through the dataset as an input. The method is helpful in computerized medical analysis. Although ...