IMPLEMENTATION OF IMPROVED U-NET AND OPTIMIZED XGBOOST-SVM CLASSIFIER FOR EARLY DETECTION OF MASSES AND MICROCALCIFICATIONS IN BREAST

Implementation of Improved U-Net and Optimized XGBoost-SVM Classifier for Early Detection of Masses and Microcalcifications in Breast

Purpose: In contemporary time, breast cancer has been extensively found among women at a global rate of 24.2% as of 2018.This exposes the significant and imperative need for detecting masses and micro calcifications in the breast to avoid death rates.The existing histopathological images have gained a golden standard considering they would afford r

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Guidelines for the development of Escape Room genre games utilizing the emotion-based MDA framework and its application on the Logic Gates project

The maturing and growth of the game industry made stagnant genres get back into popularity, as it is the case of Escape Room.This process increased the expectations related to the quality of games that were being developed, something that is directly connected to the enjoyment that the player will experience through the product.The enjoyment is a r

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