12 天前 - … of cell’s deformation using microscopic slides or images. … microscopic image
analysis for cancer early diagnosis. … Two-stage convolutional neural network for breast cancer …

13 天前 - … at the microscopic level, complicating classification and making diagnosis and
treatment … widely used method in diagnosing brain tumors. However, occasional misdiagnosis of …

21 天前 - … on a dataset of 7909 microscopic images of breast tumor tissue from … convolutional
neural network improvement for breast cancer classification (CNNI-BCC), which can classify …

27 天前 - … through the use of convolutional neural networks (CNNs), … detection, 5 to the detailed
diagnosis of skin cancer, 6 … The process of classifying lymphocytes in microscope images …

35 天前 - … of cancer among children and its diagnosis predominantly … Mafi, “Automatic
classification of acute lymphoblastic … a novel convolutional neural network,” Microscopy Research …

40 天前 - … , based on deep-learning semantic segmentation convolutional neural network
and … We sampled 10 μL from the samples under a microscope and diluted the cells with PBS …

51 天前 - … on microscopic … deep convolutional neural network to predict tumor pathology.
Eighty percent of the frames (N=20,323) were used to train a deep convolutional neural network …

55 天前 - … early diagnosis of leukaemia which is a serious type of cancer … convolutional
neural network (CNN), which has an improved ability to discern between healthy and malignant …

63 天前 - … A deep neural network architecture for the classification of microscopic images of
breast tumor tissue acquired … A hybrid convolutional neural network model with asymmetric …

63 天前 - … of the convolutional neural network (CNN) model, coupled with the microscopic
Raman … microscopic Raman techniques in conjunction with deep learning models for the …