ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging

Chapter 1 Classification of Normal Versus Malignant Cells in B-ALL White Blood Cancer Microscopic Images

Chapter 2 Classification of Leukemic B-Lymphoblast Cells from Blood Smear Microscopic Images with an Attention-Based Deep Learning Method and Advanced Augmentation Techniques

Chapter 3 Classification of Normal and Leukemic Blast Cells in B-ALL Cancer Using a Combination of Convolutional and Recurrent Neural Networks

Chapter 4 Deep Learning for Classifying of White Blood Cancer

Chapter 5 Ensemble Convolutional Neural Networks for Cell Classification in Microscopic Images

Chapter 6 Acute Lymphoblastic Leukemia Classification from Microscopic Images Using Convolutional Neural Networks

Chapter 7 Toward Automated Classification of B-Acute Lymphoblastic Leukemia

Chapter 8 Neighborhood-Correction Algorithm for Classification of Normal and Malignant Cells

Chapter 9 DeepMEN: Multi-model Ensemble Network for B-Lymphoblast Cell Classification

Chapter 10 Multi-streams and Multi-features for Cell Classification

Chapter 11 Classification of Normal Versus Malignant Cells in B-ALL Microscopic Images Based on a Tiled Convolution Neural Network Approach

Chapter 12 Acute Lymphoblastic Leukemia Cells Image Analysis with Deep Bagging Ensemble Learning

Chapter 13 Leukemic B-Lymphoblast Cell Detection with Monte Carlo Dropout Ensemble Models

Chapter 14 ISBI Challenge 2019: Convolution Neural Networks for B-ALL Cell Classification

Chapter 15 Classification of Cancer Microscopic Images via Convolutional Neural Networks