首页|Tecnologico de Monterrey Reports Findings in Machine Learning (TECRR: a benchmar k dataset of radiological reports for BI-RADS classification with machine learni ng, deep learning, and large language model baselines)

Tecnologico de Monterrey Reports Findings in Machine Learning (TECRR: a benchmar k dataset of radiological reports for BI-RADS classification with machine learni ng, deep learning, and large language model baselines)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Nuevo Leon, Me xico, by NewsRx journalists, research stated, “Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promisin g results in the free-form radiological reports’ classification in the respectiv e medical domain. In order to classify radiological reports properly, a high-qua lity annotated and curated dataset is required.”

Nuevo LeonMexicoNorth and Central Am ericaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.1)