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of 31
pro vyhledávání: '"Dev Kumar Das"'
Autor:
Pranab K. Dutta, Bhaskar Mitra, Dev Kumar Das, Gopeswar Mukherjee, Surajit Bose, Asok Kumar Maiti
Publikováno v:
Tissue and Cell. 53:111-119
Identification of various constituent layers such as epithelial, subepithelial, and keratin of oral mucosa and characterization of keratin pearls within keratin region as well, are the important and mandatory tasks for clinicians during the diagnosis
Publikováno v:
Journal of Medical Imaging and Health Informatics. 7:1689-1692
Publikováno v:
Journal of Microscopy. 269:310-320
Summary In this paper, we have presented a new computer-aided technique for automatic detection of nucleated red blood cells (NRBCs) or normoblast cell from peripheral blood smear image. The proposed methodology initiates with the localization of the
Autor:
Dev Kumar Das, Chandan Chakraborty, Asok Kumar Maiti, Surajit Bose, Pabitra Mitra, Sanjoy Chatterjee
Publikováno v:
Multidimensional Systems and Signal Processing. 28:1031-1050
Oral squamous cell carcinoma (OSCC) diagnosis through computer vision approach is newly introduced technique in the modern diagnostic era. Mitotic cell count from related tissue histopathological images signifies the proliferative marker of cancer ce
Autor:
Sanjit Agarwal, Indu Arun, Dev Kumar Das, Tushar Mungle, Suman Tewary, Chandan Chakraborty, B. Basak, Rosina Ahmed, Sanjoy Chatterjee
Publikováno v:
Journal of Microscopy. 267:117-129
Summary Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time-consumption and inter-/intraobserver variability are major hindrances for evaluati
Publikováno v:
Journal of Medical and Biological Engineering. 36:795-809
This paper proposes an efficient and accurate exudate and optic disc (OD) region segmentation methodology. Exudate, an inflammation that occurs in diabetic retinopathy, must be localized for diabetic retinopathy diagnosis. Similarly, the OD region mu
Publikováno v:
Journal of Medical and Biological Engineering. 36:420-429
Asthma, a chronic disease, involves various clinico-epidemiological factors. In view of this, its early detection followed by management is required for providing better healthcare support to patients. This paper proposes an efficient machine learnin
Autor:
Pranab K. Dutta, Dev Kumar Das
Publikováno v:
Computers in biology and medicine. 104
In medical practice, the mitotic cell count from histological images acts as a proliferative marker for cancer diagnosis. Therefore, an accurate method for detecting mitotic cells in histological images is essential for cancer screening. Manual evalu
Publikováno v:
Current trends in Bioinformatics: An Insight ISBN: 9789811074813
Medical imaging informatics (MII) includes problems of image data representation and abstraction. This provides immense help not only in standardization and interoperability but also enhances image data usability for data mining, decision support, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773d45914c362933ea599db1b28657ad
https://doi.org/10.1007/978-981-10-7483-7_15
https://doi.org/10.1007/978-981-10-7483-7_15
Publikováno v:
Journal of Microscopy. 260:1-19
Malaria, being an epidemic disease, demands its rapid and accurate diagnosis for proper intervention. Microscopic image-based characterization of erythrocytes plays an integral role in screening of malaria parasites. In practice, microscopic evaluati