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 ...

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 ...

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

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 ...

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

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 ...