Advancement of machine intelligence in interactive medical image analysis

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image...

• Other Authors: Verma, Om Prakash, 1966- (Editor), Roy, Sudipta (Editor), Pandey, Subhash Chandra (Editor), Mittal, Mamta editor
• Format: Book
• Language: English
• Published: Singapur: Springer, 2020
• Series: Algorithms for Intelligent Systems,
• Subjects: Image analysis; Artificial intelligence; Diagnostic imaging; Glaucoma; Deep learning; Inteligencia artificial; Medical applications
• Online Access: Texto completo

Table of Contents:

• Pragmatic medical image analysis and deep learning: an emerging trend / Pranjal Pandey, Smita Pallavi y Subhash Chandra Pandey
• Aspect of big data in medical imaging to extract the hidden information using HIPI in HDFS environment / Yogesh Kumar Gupta
• Image segmentation using deep learning techniques in medical images / Mamta Mittal, Maanak Arora, Tushar Pandey y Lalit Mohan Goyal.
• Application of machine intelligence in digital pathology: identification of falciparum malaria in thin blood smear image / Sanjay Nag, Nabanita Basu y Samir Kumar Bandyopadhyay
• Efficient ANN algorithms for sleep apnea detection using transform methods / Jyoti Bali, Anilkumar Nandi y P. S. Hiremath
• Medical image processing in detection of abdomen diseases / Kirti Rawal y Gaurav Sethi
• Multi-reduct rough set classifier for computer-aided diagnosis in medical data / Kavita Jain y Sushil Kulkarni
• A new approach of intuitionistic fuzzy membership matrix in medical diagnosis with application / Nabanita Konwar y Pradip Debnath
• Image analysis and automation of data processing in assessment of dental X-ray (OPG) using MATLAB and excel VBA / Emmanuel Dhiravia Sargunam y Thirumalai Servi
• Detecting bone fracture using transfer learning / Saurabh Verma, Sudhanshu Kulshrestha, Chirag Rajput y Sanjeev Patel
• GAN-based novel approach for data augmentation with improved disease classification / Debangshu Bhattacharya, Subhashis Banerjee, Shubham Bhattacharya, B. Uma Shankar y Sushmita Mitra
• Automated glaucoma type identification using machine learning or deep learning techniques / Law Kumar Singh, Hitendra Garg and Pooja
• Glaucoma detection from retinal fundus images using RNFL texture analysis / Anirban Mitra, Somasis Roy, Ritushree Purkait, Sukanya Konar, Avisa Majumder, Moumita Chatterjee, Sudipta Roy y Sanjit Kr. Setua
• Artificial intelligence based glaucoma detection / Prabhjot Kaur y Praveen Kumar Khosla
• Security issues of internet of things in health-care sector: an analytical approach / Pranjal Pandey, Subhash Chandra Pandey y Upendra Kumar