QUANTIFICATION OF PULMONARY EDEMA FROM CHEST RADIOGRAPHS USING DEEP CNN /
Enregistré dans:
| Auteur principal: | |
|---|---|
| Collectivité auteur: | |
| Autres auteurs: | , |
| Format: | Livre |
| Langue: | anglais |
| Publié: |
Dhaka :
BME DEPT. MIST,
c2024.
|
| Sujets: | |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires: QUANTIFICATION OF PULMONARY EDEMA FROM CHEST RADIOGRAPHS USING DEEP CNN /
- DEVELOPMENT OF A CLINICAL DIAGNOSIS AND DECISION SUPPORT SYSTEM FOR CHEST RADIOGRAPHY USING CNN /
- VIDEO BASED MONITORING OF RESPIRATORY RATE AND CHEST-ABDOMINAL WALL MOBILITY /
- DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
- SKIN DISEASE DETECTION FROM IMAGES USING MACHINE LEARNING ALGORITHMS /
- SPECIES TREE ESTIMATION FROM GENE TREES USING QUARTET AND TRIPLET DISTRIBUTIONS /
- DEEP LEARNING APPROACH FOR VLASSIFICATION OF BLOOD AND DETECTION OF BLOOD RELATED DISEASE (LEUKEMIA) USING BLOOD SMEAR IMAGES /