Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images

Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computer-aided diagnostics (CAD) based on deep learning methods have grown to be the most concerned method in recent years due to its safety, efficiency and economy. CAD’s function varies from providing second opinion to doctors to establishing a baseline upon which further diagnostics can be conducted [3]. In this paper, we cross-compare different approaches to classify thyroid nodules and finally propose a method that can exploit interaction between segmentation and classification task. In our method, detection and segmentation results are combined to produce class-discriminative clues for boosting classification performance. Our method is applied to TN-SCUI 2020, a MICCAI 2020 challenge and achieved third place in classification task. In this paper, we provide exhaustive empirical evidence to demonstrate the applicability and efficacy of our method.

Original languageEnglish
Title of host publicationSegmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Proceedings
EditorsNadya Shusharina, Mattias P. Heinrich, Ruobing Huang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages145-154
Number of pages10
ISBN (Print)9783030718268
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventAnatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, ABCs 2020, Learn2Reg Challenge, L2R 2020 and Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge, TN-SCUI 2020 held in conjunction with 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 - Lima, Peru
Duration: 2020 Oct 42020 Oct 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAnatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, ABCs 2020, Learn2Reg Challenge, L2R 2020 and Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge, TN-SCUI 2020 held in conjunction with 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Country/TerritoryPeru
CityLima
Period20/10/420/10/8

Keywords

  • Classification
  • Detection
  • Segmentation
  • Thyroid nodule
  • Ultrasound images

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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