DeepAI AI Chat
Log In Sign Up

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

07/16/2021
by   Talha Qaiser, et al.
Imperial College London
14

Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI is used to detect sites of disease across the entire skeletal system, but it requires significant expertise and is time-consuming to report due to the great number of images. To aid radiological reading, we propose an auxiliary task-based multiple instance learning approach (ATMIL) for MM classification with the ability to localize sites of disease. This approach is appealing as it only requires patient-level annotations where an attention mechanism is used to identify local regions with active disease. We borrow ideas from multi-task learning and define an auxiliary task with adaptive reweighting to support and improve learning efficiency in the presence of data scarcity. We validate our approach on both synthetic and real multi-center clinical data. We show that the MIL attention module provides a mechanism to localize bone regions while the adaptive reweighting of the auxiliary task considerably improves the performance.

READ FULL TEXT

page 2

page 6

page 8

page 11

page 12

page 13

02/12/2022

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation

Accurate quantification of cerebral blood flow (CBF) is essential for th...
11/15/2022

Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliar...
10/28/2021

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

Spinal degeneration plagues many elders, office workers, and even the yo...
10/22/2019

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

This paper presents a simple and effective generalization method for mag...
02/26/2021

Active Selection of Classification Features

Some data analysis applications comprise datasets, where explanatory var...
12/31/2020

FREA-Unet: Frequency-aware U-net for Modality Transfer

While Positron emission tomography (PET) imaging has been widely used in...
02/26/2019

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images

Background: Parkinson's disease (PD) is a prevalent long-term neurodegen...