Antonio Mollo
Datos Biográficos
| ID | 7817130 |
|---|---|
| NOMBRE | Antonio Mollo |
| NOMBRES | Antonio |
| APELLIDO | Mollo |
| FIRMA | MOLLO A |
| AFILIACIONES | University of Salerno |
| ORCID | 0000-0002-6828-6389 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis
In this preliminary study DL model showed a lower accuracy but a higher specificity in diagnosing adenomyosis on ultrasonographic images compared to intermediate-skilled trainees
Sin obras prominentes en esta página.
Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis
In this preliminary study DL model showed a lower accuracy but a higher specificity in diagnosing adenomyosis on ultrasonographic images compared to intermediate-skilled trainees
Adenomyosis (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Endometrial and Cervical Cancer Treatments (1 obra) · Endometriosis (1 obra) · Endometriosis Research and Treatment (1 obra) · Gynecology (1 obra) · Medicine (1 obra) · Radiology (1 obra) · Uterine Myomas and Treatments (1 obra)