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• Computer aided detection of colonic polyps on CT colonography / Jack Yao
• Preprocessing tools for computer aided cancer imaging systems / Artyom M. Grigoryan and Sos S. Agaian
• Multimodality imaging for tumor volume definition in radiation oncology / Issam El Naqa
• Nonlinear unsharp masking for enhancing suspicious regions in mammograms / Yicong Zhou, Sos Agaian, Karen Panetta, C. L. Philip Chen
• Skin lesion extraction based on distance histogram and color information / Yanliang Gu and Jinshan Tang
• Geometric incremental support vector machine for object detection from capsule endoscopy videos / Xiaohui Yuan, Balathasan Giritharan, Mohamed Abouelenien, Jianguo Liu, Xiaojing Yuan
• Automated melanomascreening and early detection / Xiaojing Yuan, Ning Situ, Xiaohui Yuan, George Zouridakis
• A complex wavelet-based feature extraction system for microcalcification detection in digital mammograms / Ping Zhang, Kwabena Agyepong
• Computer-aided prostate cancer diagnosis : principles, recent advances, and future prospective : a review / Clara Mosquera-Lopez, Sos Agaian, Alejandro Velez-Hoyos, and Ian Thompson
• Analysis of breast masses in mammograms using the fractal dimension and shape factors / Grazia Raguso, Antonietta Ancona, Loredana Chieppa, Samuela Labbate, Maria Luisa Pepe, Fabio Mangieri, Shantanu Banik, and Rangaraj M. Rangayyan
• Another step towards successful tomographic imaging in cancer : solution of the problem of image reconstruction / Artyom M. Grigoryan.

Accurate imaging of cancerous tissue is a critical step in the fight to lower cancer mortality rates, and computer-aided detection and diagnosis (CAD) technologies play a key role. Over the last three decades, the field of diagnostic cancer imaging has witnessed a remarkable evolution that has affected virtually every aspect of research and clinical management of cancer. This book discusses recent high-quality research in key technologies used in CAD systems; the 11 chapters cover different types of cancers (including skin, breast, prostate, and colon cancer) and different scientific fields (such as biomedicine, imaging, image processing, pattern recognition, and system analysis) to further the major goals of current cancer imaging: provide more reliable disease characterization through the synthesis of anatomic, functional, and molecular imaging information; refine and optimize imaging capabilities in oncology; establish new imaging modalities and findings, and discover the potential use of these techniques; find more individualized assessment of tumor biology, personalized treatments, and response to treatment; develop image-processing-based cancer control systems; and explore imaging capabilities and strategies to streamline cancer drug development.

• A Comprehensive Study of Page-rank algorithm.- Live Emotion Verifier for Chat Applications using Emotional Intelligence.- Text to Speech conversion of Handwritten Kannada Words using various Machine Learning Models.- An Improved approach for automated essay scoring with LSTM and Word Embedding.- RoMaPla: Using t-test for Evaluating Robustness of Marathi Plagiarism Checker (MaPla).- To Analyse the impact of water scarcity in developing countries using Machine Learning.- Deep Learning Algorithms for Object Detection- A Study.- A Novel Multiblock Region Based Arnold Transformation for Image Watermarking combined with DWT-PSO Technique.- Automated Evaluation of SQL Queries: Eval_SQL.- Unsupervised Feature Selection Approaches for Medical Dataset using Soft Computing Techniques.
• (source: Nielsen Book Data)

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 - 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Evolution in Computational Intelligence. The conference papers included herein presents both theoretical as well as practical aspects of different areas like ANN and genetic algorithms, human-computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, multi-agent systems, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.
(source: Nielsen Book Data)

• Automated Flower Species Identification by using Deep convolution neural network
• Information Retrieval for Cloud Forensics
• Machine Translation System Combination with Enhanced Alignments using Word Embeddings
• Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
• Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture
• Usage of Block Chain Technology in e-Voting System using Private Block Chain
• Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning
• Deep Learning based Mosquito Species detection using Wingbeats frequencies
• Developments in Capsule Network Architecture: A Review
• Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives
• Image GPT with Super Resolution.

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25-26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. .

• Preface
• List of contributors
• Acronyms and abbreviations
• I. Mobile healthcare image processing and enhanced visualization: 1. Introduction to electronic imaging applications in mobile healthcare / Zilong Hu; 2. A mobile image enhancement technology for low-vision patients / Fahao Qiao and Jinshan Tang; 3. Cellphone camera color medical imaging via fast Fourier transform / Artyom M. Grigoryan and Sos S. Agaian; 4. Color enhancement and correction for camera cell phone medical images using Quaternion tools / Artyom M. Grigoryan and Sos S. Agaian; 5. Adapted retinex algorithm with complexity optimization for mobile phone medical image enhancement / Artyom M. Grigoryan and Sos S. Agaian
• II. Security issues in mobile healthcare applications: 6. Secure medical image processing for mobile devices using cloud services / Xiaohui Yuan and Mahadevan Gomathisankaran; 7. Cell-phone medical image encryption based on a method of 3D spirals / Artyom M. Grigoryan and Bryan Wiatrek
• III. Human external pulsometers and activity recognition using mobile devices: 8. Human activity recognition and processing for mobile applications / Jafet Morales, Sahak Kaghyan, David Akopian, and Sos S. Agaian; 9. Improved smartphone heart rate acquisition system / Gevorg Karapetyan, Rafayel Barseghyan, Hakob Sarukhanyan, and Sos S. Agaian --

• IV. Mobile healthcare applications: 10. An iPhone application for skin cancer monitoring / Yanliang Gu and Jinshan Tang; 11. A mobile healthcare interface / Wei Hu, Daikun Zou, Kai Zhang, Jun Liu, and Xiaoming Liu; 12. DietCam: multiview regular shape food recognition with a camera phone / Fanyu Kong, Hongsheng He, Hollie A. Raynor, and Jindong Tan
• Index.

"The integration of mobile technology into healthcare has evolved into an important research area called mHealth. This book presents state-of-art research in mobile imaging technologies and their applications to healthcare. Thirteen chapters by leaders in their fields are divided into four parts: Part I on mobile imaging and enhanced visualization, Part II on security issues in mobile healthcare applications, Part III on human external pulsometers, activity recognition, and tracking using mobile devices, and Part IV on mobile healthcare applications, including skin cancer monitoring with an iPhone using image retrieval techniques, a remote mobile medical imaging system based on mobile devices, and an automatic multiview food classification method for food intake assessment on a smart phone. The editors hope that this book will promote further research in mHealth"-- Provided by publisher.