We compared the predictive output of a deep learning-based algorithm applied to H&E-stained whole slide images (WSI) of prostate tumors to commercial genomic classifiers such as Decipher and Prolaris ...

Amandin Chyba Rabeendran, Larry Denneau, A Two-stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey, Publications of the Astronomical Society of the Pacific, Vol. 133, No. 1021 (2021 ...

The National Intellectual Property Administration's information shows that Hikvisionhas applied for a patent titled "Training Method for a Classification Model for Goods, Classification Method for ...

Conclusions: Our multimodal deep learning model shows promise for accurate non-invasive colon cancer and AA detection using low-coverage cfDNA WGS. Its strong performance in detecting not only CRC but ...

A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning ...

This is where MACH, a research project authored by Rice University's Tharun Medini and Anshumali Shrivastava, comes in. MACH is an acronym for Merged Average Classifiers via Hashing, and according ...

Complemented by deep learning, machine vision solutions have become a powerful tool for enhancing automated inspection capabilities.