[HTML][HTML] Advances of AI in image-based computer-aided diagnosis: A review
Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
Computer based diagnosis of some chronic diseases: a medical journey of the last two decades
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
Xbound-former: Toward cross-scale boundary modeling in transformers
Skin lesion segmentation from dermoscopy images is of great significance in the quantitative
analysis of skin cancers, which is yet challenging even for dermatologists due to the inherent …
analysis of skin cancers, which is yet challenging even for dermatologists due to the inherent …
A 3D cross-modality feature interaction network with volumetric feature alignment for brain tumor and tissue segmentation
Y Zhuang, H Liu, E Song… - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Accurate volumetric segmentation of brain tumors and tissues is beneficial for quantitative
brain analysis and brain disease identification in multi-modal Magnetic Resonance (MR) …
brain analysis and brain disease identification in multi-modal Magnetic Resonance (MR) …
Dual consistency enabled weakly and semi-supervised optic disc and cup segmentation with dual adaptive graph convolutional networks
Glaucoma is a progressive eye disease that results in permanent vision loss, and the vertical
cup to disc ratio (vCDR) in colour fundus images is essential in glaucoma screening and …
cup to disc ratio (vCDR) in colour fundus images is essential in glaucoma screening and …
An intelligent auxiliary framework for bone malignant tumor lesion segmentation in medical image analysis
X Zhan, J Liu, H Long, J Zhu, H Tang, F Gou, J Wu - Diagnostics, 2023 - mdpi.com
Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes and
prognosis. Rapid and accurate diagnosis is crucial for limb salvage and increasing the …
prognosis. Rapid and accurate diagnosis is crucial for limb salvage and increasing the …
FTMF-net: A Fourier transform-multiscale feature fusion network for segmentation of small polyp objects
The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
Brain-gcn-net: Graph-convolutional neural network for brain tumor identification
Background: The intersection of artificial intelligence and medical image analysis has
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
BI-GCN: boundary-aware input-dependent graph convolution network for biomedical image segmentation
Segmentation is an essential operation of image processing. The convolution operation
suffers from a limited receptive field, while global modelling is fundamental to segmentation …
suffers from a limited receptive field, while global modelling is fundamental to segmentation …
Diabetic retinopathy grading by deep graph correlation network on retinal images without manual annotations
G Zhang, B Sun, Z Chen, Y Gao, Z Zhang, K Li… - Frontiers in …, 2022 - frontiersin.org
Background Diabetic retinopathy, as a severe public health problem associated with vision
loss, should be diagnosed early using an accurate screening tool. While many previous …
loss, should be diagnosed early using an accurate screening tool. While many previous …