Titlebook: Advanced Machine Learning Approaches in Cancer Prognosis; Challenges and Appli Janmenjoy Nayak,Margarita N. Favorskaya,Manohar Mi Book 2021

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Benjamin Warner,Aaron Crook,Renzhi Caofor interacting with the medical data in operation theatre during treatment. Computer Tomography (CT) gives a good resolution axial slice image of the lung. The tumor’s raw CT data analysis is quite impossible as the tumor’s pixel characteristics would be approximately matching its neighboring pixel

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https://doi.org/10.1007/978-3-030-96282-1aths in 2018 as per the survey of US cancer statistics. Prostate cancer is an abnormal, malignant growth of cells in the prostate gland uncontrollably. This disease mainly affects either middle-aged or older thousands of men each year. Cancer till now is a major issue that is continuously creating a

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Lecture Notes in Computer Sciencele of USA. The mortality rate of skin cancer can be reduced to 2% if detected early. Dermatoscopy is a very popular tool in the diagnosis of benign as well as cancerous pigmented skin lesions. Dermatoscopy images are also suitable for automated diagnosis of pigmented skin lesions using deep learning

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https://doi.org/10.1007/978-3-030-96282-1rrect medical intervention and hence may reduce the chance of survival of the patient. Since the risk of developing brain tumors increases with age and as there has been an increase in the aging population in the world, an urgent need is felt to develop simple and low cost analytical tools for its e

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https://doi.org/10.1007/978-3-030-71975-3Machine Learning; Neural Network; Cancer Reserch; Cancer; Neuro-Fuzzy Method; Evolutionary Approach; Neuro

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978-3-030-71977-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl