A dataset and a technique for generalized nuclear segmentation for computational pathology
Nuclear segmentation in digital microscopic tissue images can enable extraction of high-
quality features for nuclear morphometrics and other analysis in computational pathology …
quality features for nuclear morphometrics and other analysis in computational pathology …
Deep adversarial training for multi-organ nuclei segmentation in histopathology images
Nuclei mymargin segmentation is a fundamental task for various computational pathology
applications including nuclei morphology analysis, cell type classification, and cancer …
applications including nuclei morphology analysis, cell type classification, and cancer …
A review of computational methods for cervical cells segmentation and abnormality classification
Cervical cancer is the one of the most common cancers in women worldwide, affecting
around 570,000 new patients each year. Although there have been great improvements …
around 570,000 new patients each year. Although there have been great improvements …
DeepPap: deep convolutional networks for cervical cell classification
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images
Classification of cervical cells in Pap smear images is a challenging task due to the
limitations these images exhibit and the complexity of the morphological changes in the …
limitations these images exhibit and the complexity of the morphological changes in the …
Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning
In this paper, a multiscale convolutional network (MSCN) and graph-partitioning-based
method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically …
method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically …
Accurate cervical cell segmentation from overlap** clumps in pap smear images
Accurate segmentation of cervical cells in Pap smear images is an important step in
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
DCAN: Deep contour-aware networks for object instance segmentation from histology images
In histopathological image analysis, the morphology of histological structures, such as
glands and nuclei, has been routinely adopted by pathologists to assess the malignancy …
glands and nuclei, has been routinely adopted by pathologists to assess the malignancy …