WebMar 2, 2024 · Good deep learning model usually requires a decent amount of labels, but in many cases, the amount of unlabelled data is substantially more than the labelled ones. Also, the pre-trained models from the natural images are not useful on medical images since the intensity distribution is different. WebApr 13, 2024 · Graphics processing units, or simply GPUs, can accelerate the training process of numerous deep learning models to a great extent. Training models for tasks such as video analysis, image ...
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WebHence, deep learning brought great successes in the entire field of image recognition, face recognition, and image classification algorithms achieve above human-level performance and real-time object detection. Additionally, there’s been a huge jump in algorithm inference performance over the last few years. WebDec 20, 2024 · Over the recent past, deep learning is one of the core research directions which has gained a great deal of attention due to its outstanding performance in the area of medical image analysis. This paper aims to present a review of deep learning concepts related to medical imaging. We examine the use of deep learning for medical image …
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WebJan 5, 2024 · FairFace is a face image dataset designed to balance age, gender, and race, in order to reduce asymmetries common in previous face datasets. It categorizes gender into 2 groups: female and male and race into 7 groups: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino.
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