Medical artificial intelligence (AI) offers great potential for recognizing signs of health conditions in retinal images and expediting the diagnosis of eye diseases and systemic disorders1. However, the development of AI models requires substantial annotation and models are usually task-specific with lim...
Chapter 10 - Unsupervised deep learning-based disease diagnosis using medical imagesICHK-meansMedical image classificationPCA-NetUnsupervised deep learningdoi:10.1016/B978-0-323-85751-2.00011-6M. GaneshkumarV. SowmyaE.A. GopalakrishnanK.P. Soman...
Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance. Moreover, by using them, much time and effort need to be spent on extracting and select
and how they affect the other areas they communicate with, would allow drug companies to develop better treatments and could ultimately help doctors make a diagnosis. But interpreting the vast amounts of data produced by
Their new model accurately identifies tumors and diseases inmedical imagesand is programmed to explain each diagnosis with a visual map. The tool's unique transparency allows doctors to easily follow its line of reasoning, double-check for accuracy, and explain the results to patients. ...
(3) For accurate diagnosis, doctors use multiple information sources (e.g., multiple types of medical images) to make optimal diagnostic decisions. Then, according to the analyzed characteristics of doctors’ diagnostic processes mentioned above, a novel two-step framework to build deep learning ...
ML is a crucial component that can add resiliency to the medical decision-assistance systems. To better understand ML-based lung disease diagnosis, we provide a new analysis viewpoint on the different machine-learning strategies. The strategies for ML include supervised, unsupervised, and semi-superv...
a, b show the top-k diagnosis accuracy and ROC curve of our model. We pre-trained our model using unannotated images collected from the Internet and then fine-tuned it on the full coarse labeled training set. Our top-1 diagnostic accuracy on the test set increased from 42.05% to 45.05%...
Meniere’s Disease Diagnosis Meniere's disease is very rare, although the main symptoms are fairly common. To be diagnosed with it, you need to have: Two or more vertigo attacks Hearing loss confirmed by ahearing test ...
coupling clinical experience from prior rare disease presentations with the medical literature. A large number of rare disease patients remain undiagnosed for years and many even die without an accurate diagnosis. In recent years, gene panels, microarrays, and exome sequencing have helped to identify...