图书简介

Preface; List of Contributors; Enhanced Lesion Detection in Breast MRI Using Parallel and Cascaded Integration of Deep Learning Models (Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik A Goubran and Pengcheng Xi); A Survey on Peripheral Blood Smear Analysis Using Deep Learning (Rabiah Alqudah and Ching Y Suen); End-to-End Generative Adversarial Network for Hand-Vein Recognition (Huafeng Qin and Mounim A El Yacoubi); Diabetic Retinopathy Analysis Based on Retinal Fundus Photographs via Deep Learning (Yan Xu, Yufang Tang, Xuezhou Wen and Ching Y Suen); Pattern Recognition in Handwriting (Sheila Lowe); A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis (Chandranath Adak, Bidyut B Chaudhuri and Michael Blumenstein); Gender Detection from Handwritten Documents Using the Concept of Transfer Learning (Najla AL-Qawasmeh and Ching Y Suen); The Wartegg Test (Graziella Pettinati); A New Prediction Method for Credit Scoring Based on Sampling Reconstruction of Signal on Graph (Qian Zhang, Zhihua Yang, Feng Zhou and Lihua Yang); Optimal Choices of Features in Image Analysis (Camille Kurtz and Nicole Vincent); A Comprehensive Unconstrained, License Plate Database (Nicola Nobile, Hoi Kei Phoebe Chan and Marleah Blom); Classification of Spanish Criminal News using Neural Networks (Mireya Tovar Vidal, Emmanuel Santos Rodríguez and José A Reyes-Ortiz); Predicting US Elections with Social Media and Neural Networks (Ellison Yin Nang Chan, Adam Krzyżak and Ching Y Suen); Differences and Similarities learning for Unsupervised Feature Selection (Tan Jun, Xinyi Li, Ning Bi and You Ning); Index;

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