GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Cervical-Cancer

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks, but lack precision in some areas. To improve segmentation ...
News Medical

Long term use of desogestrel linked to small increase in brain tumor risk

Taking the progestogen-only contraceptive pill desogestrel continuously for more than five years is associated with a small increased risk of developing a type of brain tumor called an intracranial ...
Space Coast Daily

How to Use Behavioral Segmentation for Targeted SaaS Marketing Campaigns

Understanding customer behavior is crucial for companies with Software as a Service (SaaS). Developing customized and successful marketing strategies relies on behavioral segmentation techniques, ...
ascopubs.org

Use of molecular residual disease (MRD) testing with measurement of circulating tumor DNA (ctDNA) post-operatively in stage II colon cancer (SIICC) in the community-based setting.

A method for classifying colorectal cancer and gastric/esophageal cancer using blood-based testing. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers Symposium. This ...
ecommercefastlane

How To Use Audience Segmentation To Diversify Your Marketing

Single-serve pods or whole beans? Light roast or dark? Late-night study session or early morning school drop-off? Millions of people around the world drink coffee, but they don’t all do it the same ...
IEEE

EffUNet++: A Novel Architecture for Brain Tumor Segmentation Using FLAIR MRI Images

Abstract: The advancement of emerging technologies is fundamentally reshaping the landscape of brain tumor diagnosis and treatment planning, with a notable emphasis on precise segmentation techniques ...
Labroots

How can clinicians use spatial transcriptomics data to interpret the complexity of tumor microenvironment?

Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...
EurekAlert!

Prolonged use of certain hormone drugs linked to increased brain tumor risk

Prolonged use of certain progestogen hormone drugs is associated with an increased risk of developing a type of brain tumour known as an intracranial meningioma, finds a study from France published by ...
GitHub

sarah-antillia/Tensorflow-Image-Segmentation-Augmented-Skin-Cancer

This is an experimental Image Segmentation project for Skin-Cancer based on the Tensorflow-Image-Segmentation-API, and Skin-Cancer-ImageMask-Dataset.zip Please see also our first experiment ...
UroToday

Novel Use of Circulating Tumor DNA to Identify Muscle-Invasive and Non-organ-confined Upper Tract Urothelial Carcinoma - Beyond the Abstract

Accurate clinical staging for upper tract urothelial carcinoma (UTUC) is fraught with challenges. Urologists’ ureteroscopic tools must navigate biopsy in the labyrinthine upper tracts and thin ureter, ...
IEEE

Breast Cancer Segmentation From Ultrasound Images Using Deep Dual-Decoder Technology With Attention Network

Abstract: This paper introduces a deep learning approach for breast cancer segmentation from ultrasound imaging using a Dual Decoder Attention ResUNet (DDA-AttResUNet). DDA-AttResUNet utilizes a Dual ...