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Image segmentation algorithms for Banana leaf disease diagnosis
S Deenan, S Janakiraman… - Journal of The Institution …, 2020 - Springer
Identification and classification of leaf diseases in banana crop are an important requirement
for farmers to diagnose and to get proper remedies for the pest and disease infection …
for farmers to diagnose and to get proper remedies for the pest and disease infection …
U-RSNet: An unsupervised probabilistic model for joint registration and segmentation
Medical image segmentation and registration have vital roles in computer-assisted
diagnosis procedures, challenging tasks suffering from various limitations and artifacts …
diagnosis procedures, challenging tasks suffering from various limitations and artifacts …
Fully automatic segmentation of 4D MRI for cardiac functional measurements
Purpose Segmentation of cardiac medical images, an important step in measuring cardiac
function, is usually performed either manually or semiautomatically. Fully automatic …
function, is usually performed either manually or semiautomatically. Fully automatic …
Towards optimal flow diverter porosity for the treatment of intracranial aneurysm
Purpose Low-porosity endovascular stents, known as flow diverters (FDs), have been
proposed as an effective and minimally invasive treatment for sidewall intracranial …
proposed as an effective and minimally invasive treatment for sidewall intracranial …
Unsupervised morphological segmentation of tissue compartments in histopathological images
Algorithmic segmentation of histologically relevant regions of tissues in digitized
histopathological images is a critical step towards computer-assisted diagnosis and …
histopathological images is a critical step towards computer-assisted diagnosis and …
Deep learning deformation initialization for rapid groupwise registration of inhomogeneous image populations
Groupwise image registration tackles biases that can potentially arise from inappropriate
template selection. It typically involves simultaneous registration of a cohort of images to a …
template selection. It typically involves simultaneous registration of a cohort of images to a …
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search
A 3D model of abdominal aortic aneurysm (AAA) can provide useful anatomical information
for clinical management and simulation. Thin-slice contiguous computed tomographic (CT) …
for clinical management and simulation. Thin-slice contiguous computed tomographic (CT) …
Outer wall segmentation of abdominal aortic aneurysm by variable neighborhood search through intensity and gradient spaces
Aortic aneurysm segmentation remains a challenge. Manual segmentation is a time-
consuming process which is not practical for routine use. To address this limitation, several …
consuming process which is not practical for routine use. To address this limitation, several …