Titlebook: Intelligent Vision in Healthcare; Mukesh Saraswat,Harish Sharma,Karm Veer Arya Book 2022 The Editor(s) (if applicable) and The Author(s),

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https://doi.org/10.1007/978-981-16-7771-7Deep Learning; Convolutional Neural Network; Computer Vision; High Level Image Processing; Machine Learn

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978-981-16-7773-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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,Unsupervised Deep Learning Approach for?the?Identification of?Intracranial Haemorrhage in?CT Imagesset is a common issue for diseases like ICH. To overcome this issue, in this work, we propose a completely unsupervised deep learning framework for the identification of ICH in computed tomography (CT) images. Our proposed method employs unsupervised (principal component analysis) PCA-Net to extract

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Automatic Segmentation of Optic Cup and Optic Disc Using MultiResUNet for Glaucoma Classification fanently. In India, the ophthalmologists are limited in numbers to check the patient. Owing to this, automated detection of glaucoma from the fundus images of the eye region is the state of the art in medical imaging. In this work, the most common method for detection of glaucoma is a parameter calle

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,Predicting Heart Disease with?Multiple Classifiers, hundred million in the previous decade. Given that data is generated daily by several sources and in various formats, its timely, accurate, and cost-efficient prediction is imperative for clinical reforms. Machine learning is reputable for its effectiveness in the prediction of medical conditions b

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