Knowledge distillation driven instance segmentation for grading prostate cancer
Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
Efficient biomedical instance segmentation via knowledge distillation
Biomedical instance segmentation is vulnerable to complicated instance morphology,
resulting in over-merge and over-segmentation. Recent advanced methods apply …
resulting in over-merge and over-segmentation. Recent advanced methods apply …
MaligNet: semisupervised learning for bone lesion instance segmentation using bone scintigraphy
T Apiparakoon, N Rakratchatakul, M Chantadisai… - Ieee …, 2020 - ieeexplore.ieee.org
One challenge in applying deep learning to medical imaging is the lack of labeled data.
Although large amounts of clinical data are available, acquiring labeled image data is …
Although large amounts of clinical data are available, acquiring labeled image data is …
[HTML][HTML] Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures
K Damkliang, P Thongsuksai, K Kayasut… - PeerJ Computer …, 2023 - peerj.com
An accurate determination of the Gleason Score (GS) or Gleason Pattern (GP) is crucial in
the diagnosis of prostate cancer (PCa) because it is one of the criterion used to guide …
the diagnosis of prostate cancer (PCa) because it is one of the criterion used to guide …
[HTML][HTML] Automatic prostate gleason grading using pyramid semantic parsing network in digital histopathology
Y Qiu, Y Hu, P Kong, H Xie, X Zhang, J Cao… - Frontiers in …, 2022 - frontiersin.org
Purpose Prostate biopsy histopathology and immunohistochemistry are important in the
differential diagnosis of the disease and can be used to assess the degree of prostate …
differential diagnosis of the disease and can be used to assess the degree of prostate …
Weakly supervised pan-cancer segmentation tool
The vast majority of semantic segmentation approaches rely on pixel-level annotations that
are tedious and time consuming to obtain and suffer from significant inter and intra-expert …
are tedious and time consuming to obtain and suffer from significant inter and intra-expert …
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images
Background and objective Prostate cancer is one of the main diseases affecting men
worldwide. The Gleason scoring system is the primary diagnostic tool for prostate cancer …
worldwide. The Gleason scoring system is the primary diagnostic tool for prostate cancer …
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
D Mahapatra - arXiv preprint arXiv:2110.00404, 2021 - arxiv.org
Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histopathology images
is vital for accurate diagnosis. Although deep learning (DL) based segmentation methods …
is vital for accurate diagnosis. Although deep learning (DL) based segmentation methods …
[HTML][HTML] A multi-scale u-net for semantic segmentation of histological images from radical prostatectomies
Gleason grading of histological images is important in risk assessment and treatment
planning for prostate cancer patients. Much research has been done in classifying small …
planning for prostate cancer patients. Much research has been done in classifying small …
A dilated residual hierarchically fashioned segmentation framework for extracting Gleason tissues and grading prostate cancer from whole slide images
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be
clinically graded by examining the structural representations of Gleason tissues. This paper …
clinically graded by examining the structural representations of Gleason tissues. This paper …