Machine Learning in Medical Imaging : 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / edited by Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian.

Format:

Book

Contributor:

Suk, Heung-Il, Editor.

Liu, Mingxia, Editor.

Yan, Pingkun, Editor.

Lian, Chunfeng, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11861

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11861

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Computer Vision.

Artificial Intelligence.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Physical Description:

1 online resource (XVIII, 695 pages) : 310 illustrations, 245 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, et cetera .

Contents:

rain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization

Spatial Regularized Classification Network for Spinal Dislocation Diagnosis

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Hausdorff-Sine Loss Function

WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images

Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network

DCCL: A Benchmark for Cervical Cytology Analysis

Smartphone-Supported Malaria Diagnosis Based on Deep Learning

Children's Neuroblastoma Segmentation using Morphological Features

GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for automatic detection of esophageal abnormalities in endoscopic images

Deep Active Lesion Segmentation

Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning

A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Privacy-preserving Federated Brain Tumour Segmentation

Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images

Semi-Supervised Multi-Task Learning With Chest X-Ray Images

Novel Bi-directional Images Synthesis based on WGAN-GP with GMM-based Noise Generation

Pseudo-labeled bootstrapping and multi-stage transfer learning for the classification and localization of dysplasia in Barrett's Esophagus

Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

Boundary Aware Networks for Medical Image Segmentation

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration

Joint Shape Representation and Classification for Detecting PDAC

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

Weakly supervised segmentation by a deep geodesic prior

Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks

Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation

Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-Unet

Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation

Detecting abnormalities in resting-state dynamics: An unsupervised learning approach

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Dense-residual Attention Network for Skin Lesion Segmentation

Confounder-Aware Visualization of ConvNets

Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks

Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection

Unsupervised Lesion Detection with Locally Gaussian Approximation

A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection

BOLD fMRI-based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI

A Maximum Entropy Deep Reinforcement Learning Neural Tracker

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation

Select, Attend, and Transfer: Light, Learnable Skip Connections

Learning-based Bone Quality Classification Method for Spinal Metastasis

Automated Segmentation of Skin Lesion Based on Pyramid Attention Network

Relu cascade of feature pyramid networks for CT pulmonary nodule detection

Joint Localization of Optic Disc and Fovea in Ultra-Widefield Fundus Images

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

Lesion Detection by Efficiently Bridging 3D Context

Communal Domain Learning for Registration in Drifted Image Spaces

Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping

Semantic filtering through deep source separation on microscopy images

Adaptive Functional Connectivity Network using Parallel Hierarchical BiLSTM for MCI Diagnosis

Multi-Template based Auto-weighted Adaptive Structural Learning for ASD Diagnosis

Learn to Step-wise Focus on Targets for Biomedical Image Segmentation

Renal Cell Carcinoma Staging with Learnable Image Histogram-based Deep Neural Network

Weakly Supervised Learning Strategy for Lung Defect Segmentation

Gated Recurrent Neural Networks for Accelerated Ventilation MRI

A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment

Deep Residual Learning for Instrument Segmentation in Robotic Surgery

Deep learning model integrating dilated convolution and deep supervision for brain tumor segmentation in multi-parametric MRI

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

Automatic Fetal Brain Extraction Using Multi-Stage U-Net with Deep Supervision

Cross-Modal Attention-Guided Convolutional Network for Multi-Modal Cardiac Segmentation

High- and Low-Level Feature Enhancement for Medical Image Segmentation

Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images

FAIM-A ConvNet Method for Unsupervised 3D Medical Image Registration

Functional data and long short-term memory networks for diagnosis of Parkinson's Disease

Joint Holographic Detection and Reconstruction

Reinforced Transformer for Medical Image Captioning

Multi Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph.

Other Format:

Printed edition:

ISBN:

978-3-030-32692-0

9783030326920

Access Restriction:

Restricted for use by site license.