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Multi-agent Game Domain: Monopoly
In the previous chapters we have looked at the visual domain and single-agent environments for action domains. In this chapter, we will apply the...
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Non-linear Regression
In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally...
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Contextual and Semantic Novelty in Text
Novelty, anomaly, or out-of-distribution (OOD) detection has been an active research area for decades, since the 1960s [1, 2], due to its widespread...
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Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images
Diseases related to the prostate and distal urethra, such as prostate cancer, benign prostatic hyperplasia and urinary incontinence, may be detected...
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Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers
Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation...
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Multi-modal Adapter for Medical Vision-and-Language Learning
Recently, medical vision-and-language learning has attracted great attention from biomedical communities. Thanks to the development of large...
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Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically...
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Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development....
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Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network
Fetal brain magnetic resonance imaging (MRI) is becoming more important for early brain assessment in prenatal examination. Fast acquisition of three...
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Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling
Melanoma, a dangerous type of skin cancer resulting from abnormal skin cell growth, can be treated if detected early. Various approaches using Fully...
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An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction
Edited magnetic resonance spectroscopy (MRS) can provide localized information on gamma-aminobutyric acid (GABA) concentration in vivo. However,...
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Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Develo** robust AI models for DR...
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Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer
Magnetic resonance imaging (MRI) is a slow diagnostic technique due to its time-consuming acquisition speed. To address this, parallel imaging and...
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BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset
Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various...
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Cross-Domain Iterative Network for Simultaneous Denoising, Limited-Angle Reconstruction, and Attenuation Correction of Cardiac SPECT
Single-Photon Emission Computed Tomography (SPECT) is widely applied for the diagnosis of ischemic heart diseases. Low-dose (LD) SPECT aims to...
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Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
We propose Boundary-RL, a novel weakly supervised segmentation method that utilises only patch-level labels for training. We envision segmentation as...
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A Domain-Free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences
Many deep learning methods have been applied in myocardium segmentation, however, the robustness of these algorithms is relatively low, especially...
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Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
Multi-centre colonoscopy images from various medical centres exhibit distinct complicating factors and overlays that impact the image content,...
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Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information
Automated detection of prostate cancer via multi-parametric Magnetic Resonance Imaging (mp-MRI) could help radiologists in the detection and...