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Attention-effective multiple instance learning on weakly stem cell colony segmentation
It is designed in a single model to produce weak segmentation and classification of colonies without using finely labeled samples.
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images
Further, the severity assessment model attained an R$^2$ coefficient of 70. 51.
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
Computer-aided medical image analysis plays a significant role in assisting medical practitioners for expert clinical diagnosis and deciding the optimal treatment plan.
WideCaps: A Wide Attention based Capsule Network for Image Classification
However, on the datasets involving complex foreground and background regions such as CIFAR-10, the performance of the capsule network is sub-optimal due to its naive data routing policy and incompetence towards extracting complex features.
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