Medical Image Learning with Limited and Noisy Data
First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Series: Lecture Notes in Computer Science; 13559;
- Publisher's listprice EUR 53.49
-
22 184 Ft (21 128 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 4 437 Ft off)
- Discounted price 17 748 Ft (16 902 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
22 184 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2022
- Publisher Springer Nature Switzerland
- Date of Publication 22 September 2022
- Number of Volumes 1 pieces, Book
- ISBN 9783031167591
- Binding Paperback
- No. of pages240 pages
- Size 235x155 mm
- Weight 391 g
- Language English
- Illustrations XI, 240 p. 77 illus., 71 illus. in color. Illustrations, black & white 298
Categories
Long description:
This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
MoreTable of Contents:
Efficient and Robust Annotation Strategies.- Heatmap Regression for Lesion Detection using Pointwise Annotations.-.- Partial Annotations for the Segmentation of Large Structures with Low Annotation.-.- Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment.- Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels.- Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction.- Weakly-supervised, Self-supervised, and Contrastive Learning.- Universal Lesion Detection and Classification using Limited Data and Weakly-Supervised Self-Training.- BoxShrink: From Bounding Boxes to Segmentation Masks.- Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis.- SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI.- Optimizing Transformations for Contrastive Learning in a Differentiable Framework.-Stain-based Contrastive Co-training for Histopathological Image Analysis.- Active and Continual Learning.- CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.- Real-time Data Augmentation using Fractional Linear Transformations in Continual Learning.- DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures.- Transfer Representation Learning.- Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning.- Asymmetry and Architectural Distortion Detection with Limited Mammography Data.- Imbalanced Data and Out-of-distribution Generalization.- Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT.- CVAD: An Anomaly Detector for Medical Images Based on Cascade.- Approaches for Noisy, Missing, and Low Quality Data.- Visual Field Prediction with Missing and Noisy Data Based on Distance-based Loss.- Image Quality Classification for Automated Visual Evaluation of Cervical Precancer.- A Monotonicity Constraint Attention Module for Emotion Classification with Limited EEG Data.- Automated Skin Biopsy Analysis with Limited Data.
More
Technology-Supported Teaching and Research Methods for Educators
87 512 HUF
80 511 HUF
Simple Home: Calm spaces for comfortable living
9 550 HUF
8 117 HUF
Praefationem et textum continens: aus: [Historia] Nicetae Choniatae Historia, Ps. 1
86 682 HUF
82 349 HUF
