Introduction Breast cancer is the most common form of cancer in women. A considerable number of women with breast cancer who have been treated with chemotherapy subsequently develop neurological ...

Objectives The microscopic evaluation of slides has been gradually moving towards all digital in recent years, leading to the possibility for computer-aided diagnosis. It is worthwhile to know the ...

Tiny silica nanoparticles engineered to seek out prostate cancer caused tumor cells to self-destruct and supercharged the ...

Rat disease models have played an integral role in scientific discovery and cancer research, including Nobel Prize–winning ...

A new "tumor-on-a-chip" model is giving scientists a live look at how pancreatic cancer can recruit the body's own immune ...

Apple is introducing a new version of its system-level RAW image processing engine that uses machine learning to greatly ...

Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

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 ...

OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance. If you can only read one tech story a day, this is it. We use ...

Volumetric image registration using the pyramidal, iterative Lucas–Kanade optical-flow algorithm Overview This repository contains MATLAB code for registering a sequence of 3D images by estimating ...

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