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Found results 2 Full data Concise dataClick the title to see full data and shelfmark of each item |
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ENDRIZZI WALTER, A MACHINE LEARNING APPROACH TO PREDICT PROGRESSION IN PATIENTS AFFECTED BY MULTIPLE SCLEROSIS,
Rel. OSMANI VENET,
Rel. ROMANEL ALESSANDRO,
AA 2022/2023
Author:
ENDRIZZI WALTER
Title: A MACHINE LEARNING APPROACH TO PREDICT PROGRESSION IN PATIENTS AFFECTED BY MULTIPLE SCLEROSIS Relatore: ROMANEL ALESSANDRO Secondo Relatore: OSMANI VENET Correlatore: MORONI MONICA Academic year: 2022/2023 Course: Corso di Laurea Magistrale - Biologia Quantitativa e Computazionale [0521H] Struttura didattica: Dipartimento CIBIO Formato: digitale Shelfmark: 0521H-100 |
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REHMAN HUMA, ENHANCING LUNGS CANCER PROGNOSIS WITH RADIOMIC FEATURES: A COMPARATIVE EVALUATION OF HAND-CREAFTED AND DEEP LEARNING SEGMENTATION IN CT SCANS,
Rel. JURMAN GIUSEPPE,
AA 2022/2023
Author:
REHMAN HUMA
Title: ENHANCING LUNGS CANCER PROGNOSIS WITH RADIOMIC FEATURES: A COMPARATIVE EVALUATION OF HAND-CREAFTED AND DEEP LEARNING SEGMENTATION IN CT SCANS Relatore: JURMAN GIUSEPPE Correlatore: MORONI MONICA Academic year: 2022/2023 Course: Corso di Laurea Magistrale - Data Science [0522H] Struttura didattica: Dipartimento di Matematica Formato: digitale Shelfmark: 0522H-80 |