A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging
Convolutional Neural Networks (CNNs) are kinds of deep learning models that were created
primarily for processing and evaluating visual input, which makes them extremely applicable …
primarily for processing and evaluating visual input, which makes them extremely applicable …
DBNet: a dual-branch network for breast cancer classification in ultrasound images
H Meng, Q Li, X Liu, Y Wang… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org
Computer-aided diagnosis has been widely used in breast ultrasound images, and many
deep learning-based models have emerged. However, the datasets used for breast …
deep learning-based models have emerged. However, the datasets used for breast …
A new multiresolution deep convolutional neural network workflow for glomeruli segmentation using an iterative annotation strategy
OE Taiwo - 2022 - epublications.vu.lt
Abstract [eng] One of the major approaches engaged by kidney pathologist to knowing the
morphological states of the kidney glomeruli in any glomeruli disease diagnosis is image …
morphological states of the kidney glomeruli in any glomeruli disease diagnosis is image …