PATHOLOGIC COMPLETE RESPONSE PREDICTION AFTER NEOADJUVANT CHEMORADIATION THERAPY FOR RECTAL CANCER USING RADIOMICS AND DEEP EMBEDDING NETWORK OF MRI

Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI

Assessment of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is essential in rectal cancer staging and treatment planning.However, when predicting the pathologic complete response (pCR) after nCRT for rectal cancer, existing works either rely on simple quantitative evaluation based on radiomics features or partiall

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Penjadwalan Perkuliahan dengan Metode Metaheuristic Ant Colony Optimization Studi Kasus Politeknik Negeri Bali

Lecture scheduling problems are a very complex problem, where the core of the scheduling is how to schedule several components consisting of students, lecturers, space, time, and subject matter with due regard to certain constraints and constraints.The goal to be achieved is to apply the Ant Colony Optimization (ACO) Metaheuristic method to optimiz

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