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Morphological classification of renal cancer
World Journal of Urology, 1995The current classification of renal-cell adenomas (RCAs) and carcinomas (RCCs) is based on eight basic cell and tumor types (entities) with characteristic morphologic features: (1) RCCs of clear-cell type, (2) RCAs/RCCs of chromophilic-cell type, (3) RCAs/RCCs of chromophobic-cell type, (4) RCCs of duct Bellini type, (5) RCCs of transitional-cell type,
STORKEL, S, VANDENBERG, E
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Acta Anaesthesiologica Scandinavica, 1997
About three quarters of patients with advanced cancer experience pain. Most of these have multiple pains. Causes of pain fall into four broad categories: the cancer itself, related to the cancer +/‐ debility, related to treatment, concurrent disorder. From a neuropathological perspective, pain is either nociceptive or neuropathic.
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About three quarters of patients with advanced cancer experience pain. Most of these have multiple pains. Causes of pain fall into four broad categories: the cancer itself, related to the cancer +/‐ debility, related to treatment, concurrent disorder. From a neuropathological perspective, pain is either nociceptive or neuropathic.
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Molecular Classification of Breast Cancer
PET Clinics, 2023Breast carcinomas classified based on traditional morphologic assessment provide useful prognostic information. Although morphology is still the gold standard of classification, recent advances in molecular technologies have enabled the classification of these tumors into four distinct subtypes based on its intrinsic molecular profile that provide both
Madhuchhanda, Roy +3 more
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Breast cancer classification based on hybrid CNN with LSTM model
Scientific ReportsBreast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. The speed-up process of detection and classification is crucial for effective cancer treatment.
Mourad Kaddes +3 more
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LUNG CANCER STAGING CLASSIFICATION
Clinics in Chest Medicine, 1993In presenting the staging system, I recognize that in a given patient the total tumor burden cannot be precisely quantitated, and the balance between host defenses and the heterogeneity of the malignancy is not measurable. These and other complex interacting biological variables will influence the subsequent course of the disease.
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Seminars in Roentgenology, 2011
o c T s The pathologic diagnosis of lung cancer is undergoing a remarkable transformation, largely driven by new therapies that are dependent on histologic type and/or molecular changes.1 Lung cancer is diagnosed pathologically by a histologic or cytologic approach.
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o c T s The pathologic diagnosis of lung cancer is undergoing a remarkable transformation, largely driven by new therapies that are dependent on histologic type and/or molecular changes.1 Lung cancer is diagnosed pathologically by a histologic or cytologic approach.
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Malignant and Benign Breast Cancer Classification using Machine Learning Algorithms
2021 International Conference on Artificial Intelligence (ICAI), 2021At the moment, the most prevalent form of cancer diagnosed in women across the globe is breast cancer. It develops in the breast tissue and is one of the most frequent causes of women’s death.
S. Ara, Annesha Das, Ashim Dey
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2015
The current classification of primary adult liver cancer distinguishes two main diagnostic categories: hepatocellular carcinoma and cholangiocarcinoma. These are very heterogeneous tumors characterized by different morphological and clinical features, reflecting the variety of oncological agents and the complex pathways to tumorigenesis.
Maria Guido +3 more
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The current classification of primary adult liver cancer distinguishes two main diagnostic categories: hepatocellular carcinoma and cholangiocarcinoma. These are very heterogeneous tumors characterized by different morphological and clinical features, reflecting the variety of oncological agents and the complex pathways to tumorigenesis.
Maria Guido +3 more
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Cancer classification using Rotation Forest
Computers in Biology and Medicine, 2008We address the microarray dataset based cancer classification using a newly proposed multiple classifier system (MCS), referred to as Rotation Forest. To the best of our knowledge, it is the first time that Rotation Forest has been applied to the microarray dataset classification.
Kun-Hong, Liu, De-Shuang, Huang
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