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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) medical imaging and computer-aided diagnosis /
This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the developm...
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| Corporate Authors: | , |
|---|---|
| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2024]
|
| Series: | Lecture notes in electrical engineering ;
v. 1166. |
| Physical Description: |
1 online resource (xiv, 406 pages) : illustrations (chiefly color). |
| Subjects: | |
| Online Access: | SpringerLink - Click here for access |
MARC
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| 111 | 2 | |a International Conference on Medical Imaging and Computer-Aided Diagnosis |d (2023 : |c Cambridge, England). | |
| 245 | 1 | 0 | |a Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) : |b medical imaging and computer-aided diagnosis / |c Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi, editors. |
| 264 | 1 | |a Singapore : |b Springer, |c [2024] | |
| 300 | |a 1 online resource (xiv, 406 pages) : |b illustrations (chiefly color). | ||
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| 490 | 1 | |a Lecture Notes in Electrical Engineering Series ; |v volume 1166. | |
| 520 | |a This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, humancomputer interaction, databases, and performance evaluation. | ||
| 588 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Intro -- Preface -- Organization -- Contents -- Medical Imaging -- Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning -- 1 Introduction -- 2 Problem -- 3 Proposed Software -- 3.1 Model Architecture -- 3.2 Training Data -- 4 Methodology -- 4.1 Objectives -- 4.2 Data Source and Demographic Data -- 4.3 Ground Truth -- 4.4 Assessment -- 4.5 Statistical Analysis -- 5 Results -- 6 Discussion -- 6.1 Limitations -- 7 Conclusions -- References -- Evaluation of Left Main Bifurcation Ostial Area by Main Vessel Intravascular Ultrasound -- 1 Introduction -- 2 Methods. | |
| 505 | 8 | |a 2.1 Study Population -- 2.2 IVUS Image Acquisition and Analysis -- 2.3 Analysis from MB Pullback and SB Pullback -- 2.4 Subgroup Analysis of Pullbacks -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Baseline Clinical Characteristics -- 3.2 IVUS Image Analysis Results -- 3.3 Motion Artifacts and Placement of Stent -- 4 Discussion -- 4.1 Clinical Implications -- 4.2 Limitations of the Study -- 5 Conclusion -- References -- End-to-End Autoencoding Architecture for the Simultaneous Generation of Medical Images and Corresponding Segmentation Masks -- 1 Introduction -- 2 Proposed Method. | |
| 505 | 8 | |a 2.1 The Hamiltonian VAE -- 2.2 Modeling the Joint Distribution for the Simultaneous Medical Images and Masks Generation -- 3 Experiments -- 3.1 Datasets -- 3.2 Training Settings -- 3.3 Evaluation Results -- 4 Conclusion -- References -- Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI -- Proof of Concept for Black-Box Brain-Hemorrhage Classification -- 1 Introduction -- 1.1 Motivation -- 1.2 Prior Work -- 1.3 Contributions -- 2 Methods and Materials -- 2.1 Overview -- 2.2 Dataset -- 2.3 Randomized Input Sampling for Explanation (RISE) -- 2.4 3D Rise. | |
| 505 | 8 | |a 2.5 Explainability Quality Assessment -- 2.6 Explainability Quantitative Assessment -- 3 Results -- 3.1 Empirical Tuning of Parameters -- 3.2 Mask Combination Experiments -- 3.3 Relationship Between Pathology Distribution and Heatmap Quality -- 3.4 Test Set Results -- 4 Discussion and Outlook -- References -- Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans -- 1 Introduction -- 2 Methods -- 2.1 Multi-task Learning Network -- 2.2 Estimating the Bio-Parameters -- 3 Data and Experiments -- 3.1 Dataset -- 3.2 Experiments -- 4 Results and Discussion. | |
| 505 | 8 | |a 5 Conclusion -- References -- Energy-Efficient 3D Convolution Using Interposed Memory Accelerator eXtension 2 for Medical Image Processing -- 1 Introduction and Background -- 2 IMAX2 and U-Net -- 2.1 IMAX2 -- 2.2 U-Net and Its Bottlenecks -- 3 Implementation and Results -- 3.1 Implementing 3D CNN on IMAX2 -- 3.2 Results -- 4 Conclusion and Future Prospects -- References -- Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope from Breast Cancer Tissue -- 1 Introduction -- 1.1 RNAscope Staining -- 1.2 RNAscope Segmentation -- 2 Related Work -- 3 Method -- 3.1 Data Acquisition. | |
| 650 | 0 | |a Diagnostic imaging |x Data processing |v Congresses. | |
| 650 | 0 | |a Diagnosis |x Data processing |v Congresses. | |
| 650 | 6 | |a Imagerie pour le diagnostic |x Informatique |v Congrès. | |
| 650 | 6 | |a Diagnostics |x Informatique |v Congrès. | |
| 655 | 2 | |a Congress. | |
| 655 | 7 | |a proceedings (reports) |2 aat. | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft. | |
| 655 | 7 | |a Actes de congrès. |2 rvmgf. | |
| 700 | 1 | |a Ruidan, Su, |e editor. | |
| 700 | 1 | |a Zhang, Yu-Dong, |e editor. | |
| 700 | 1 | |a Frangi, Alejandro F., |e editor. | |
| 710 | 2 | |a SpringerLink (Online Service) | |
| 776 | 0 | 8 | |i Print version: |a Su, Ruidan |t Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) |d Singapore : Springer,c2024 |z 9789819713349. |
| 830 | 0 | |a Lecture notes in electrical engineering ; |v v. 1166. | |
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