AIMC Journal:
IEEE transactions on medical imaging

Showing 301 to 310 of 687 articles

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.

IEEE transactions on medical imaging Dec 30, 2021
Pancreatic cancer is a lethal malignant tumor with one of the worst prognoses. Accurate segmentation of pancreatic cancer is vital in clinical diagnosis and treatment. Due to the unclear boundary and small size of cancers, it is challenging to both m...
Artificial Intelligence Image Processing, Computer-Assisted Algorithms Humans Pancreatic Neoplasms Imaging, Three-Dimensional Deep Learning
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Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation.

IEEE transactions on medical imaging Nov 30, 2021
Suboptimal generalization of machine learning models on unseen data is a key challenge which hampers the clinical applicability of such models to medical imaging. Although various methods such as domain adaptation and domain generalization have evolv...
Machine Learning Semantics
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Efficient Medical Image Segmentation Based on Knowledge Distillation.

IEEE transactions on medical imaging Nov 30, 2021
Recent advances have been made in applying convolutional neural networks to achieve more precise prediction results for medical image segmentation problems. However, the success of existing methods has highly relied on huge computational complexity a...
Neural Networks, Computer Humans Semantics Image Processing, Computer-Assisted
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Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images.

IEEE transactions on medical imaging Nov 30, 2021
Whole-Slide Histopathology Image (WSI) is generally considered the gold standard for cancer diagnosis and prognosis. Given the large inter-operator variation among pathologists, there is an imperative need to develop machine learning models based on ...
Machine Learning Neoplasms Humans Proportional Hazards Models
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Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

IEEE transactions on medical imaging Nov 30, 2021
The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened public concern over the patient's associated radiation dose. On the other hand, reducing the radiation dose leads to increased noise and artifacts, w...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Attention Neural Networks, Computer Algorithms Computers Tomography, X-Ray Computed
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ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation.

IEEE transactions on medical imaging Nov 30, 2021
Accurate and reliable segmentation of colorectal tumors and surrounding colorectal tissues on 3D magnetic resonance images has critical importance in preoperative prediction, staging, and radiotherapy. Previous works simply combine multilevel feature...
Magnetic Resonance Imaging Neural Networks, Computer Humans Image Processing, Computer-Assisted Colorectal Neoplasms Semantics
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CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.

IEEE transactions on medical imaging Nov 30, 2021
Detecting synaptic clefts is a crucial step to investigate the biological function of synapses. The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details. Machine lear...
Microscopy, Electron Deep Learning Synapses Brain Machine Learning
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MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.

IEEE transactions on medical imaging Nov 30, 2021
Low-dose computed tomography (LDCT) scans, which can effectively alleviate the radiation problem, will degrade the imaging quality. In this paper, we propose a novel LDCT reconstruction network that unrolls the iterative scheme and performs in both i...
Supervised Machine Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Tomography, X-Ray Computed Neural Networks, Computer
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Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.

IEEE transactions on medical imaging Nov 30, 2021
Deep learning is becoming an indispensable tool for imaging applications, such as image segmentation, classification, and detection. In this work, we reformulate a standard deep learning problem into a new neural network architecture with multi-outpu...
Neural Networks, Computer Neoplasms Humans Image Processing, Computer-Assisted
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Estimating Effective Connectivity by Recurrent Generative Adversarial Networks.

IEEE transactions on medical imaging Nov 30, 2021
Estimating effective connectivity from functional magnetic resonance imaging (fMRI) time series data has become a very hot topic in neuroinformatics and brain informatics. However, it is hard for the current methods to accurately estimate the effecti...
Image Processing, Computer-Assisted Head Neural Networks, Computer Brain Magnetic Resonance Imaging
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