Computational pathology and ophthalmic medical image analysis : first International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings /: first International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. (2018)

• Record Type: Book
• Other Titles: COMPAY 2018; OMIA 2018
• Further Information: Note: Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu et al. (eds.).
• Editors: Stoyanov, Danail; Taylor, Zeike; Ciompi, Francesco; Xu, Yanwu
• Other Names: COMPAY (Workshop), 1st; OMIA (Workshop), 5th; International Conference on Medical Image Computing and Computer-Assisted Intervention, 21st
• Contents: ​Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability.- Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images.- Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network.- Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image.- Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains.- Role of Task Complexity and Training in Crowdsourced Image Annotation.- Capturing global spatial context for accurate cell classification in skin cancer histology.- Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains.- Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.- Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow.- DeepCerv: Deep neural network for segmentation free robust cervical cell classification.- Whole slide image registration for the study of tumor heterogeneity.- Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network.- Structure instance segmentation in renal tissue: a case study on tubular immune cell detection.- Cellular Community Detection for Tissue Phenotyping in Histology Images.- Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning.- Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.- Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content.- Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.- Ocular Structures Segmentation from Multi-sequences MRI using 3D Unet with Fully Connected CRFs.- Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN.- Segmentation of Corneal Nerves Using a U-Net-based Convolutional Neural Network.- Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images.- Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images.- Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming.- Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning.- cGAN-based lacquer cracks segmentation in ICGA image.- Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks.- Fundus Image Quality-guided Diabetic Retinopathy Grading.- DeepDisc: Optic Disc Segmentation based on Atrous Convolution and Spatial Pyramid Pooling.- Large-scale Left and Right Eye Classification in Retinal Images.- Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images.- Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography.- Visual Field based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network.- Towards standardization of retinal vascular measurements: on the effect of image centering.- Feasibility study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2.- Segmentation of retinal layers in OCT images of the mouse eye utilizing polarization contrast.- Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation.- 2D Modeling and Correction of Fan-beam Scan Geometry in OCT.- A Bottom-up Saliency Estimation Approach for Neonatal Retinal Images.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xvii, 347 pages), illustrations
• Subjects: 616.07; Computer science; Pathology -- Data processing -- Congresses; Eye -- Imaging -- Congresses; Computers -- Intelligence (AI) & Semantics; Computers -- Logic Design; Computers -- Mathematical & Statistical Software; Computers -- Computer Vision & Pattern Recognition; Artificial intelligence; Algorithms & data structures; Maths for computer scientists; Pattern recognition; Computer vision; Artificial intelligence; Optical pattern recognition; Computers -- Computer Graphics; Image processing; Electronic books
• Languages: English
• ISBNs: 9783030009496; 3030009491
• Related ISBNs: 9783030009489
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed September 20, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.