BIOENGINEER

Self-supervised deep learning spots cotton leaf diseases with explainable heatmaps

A self-supervised CNN framework with Grad-CAM heatmaps reached up to 94.38% validation accuracy on a 2,137-image cotton leaf ...
Nature

Self-Supervised Learning Applications in Medical Image Analysis articles from across Nature Portfolio

Deep learning (DL) models have reached remarkable achievements in medical imaging, but their performance heavily depends on the availability of large and diverse ...
Nature

Self-Supervised Learning Applications in Medical Image Analysis

Self-supervised learning has emerged as a powerful paradigm to bridge the gap between data abundance and label scarcity in medical imaging. By constructing supervisory signals from the data ...
Yahoo Finance

The Global Self-Supervised Learning Market size is expected to reach $51.7 billion by 2028, rising at a market growth of 33.3% CAGR during the forecast period

New York, Oct. 20, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Self-supervised Learning Market Size, Share & Industry Trends Analysis Report By End-use, By ...

[Part 2] Is there a "correct answer" in data?: A gentle explanation of supervised, unsupervised, and semi-supervised learning

Estimated reading time: approx. 3 minutes 35 secondsHow machine learning is learned can be broadly divided based on whether the training data has a "correct answer" attached to it. In this article, we ...