当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Anjali Nandibali
Ultrasound PC Tomography (USCT) is a promising bosom imaging methodology being worked on. Correlation with a standard technique like mammography is fundamental for additional turn of events. It is challenging to correlate USCT images and X-ray mammograms due to significant differences in the breast’s compression state and image dimensionality. In this paper, we present a 2D/3D enrollment strategy to work on the spatial correspondence and permit direct examination of the pictures. It depends on biomechanical demonstrating of the bosom and reproduction of the mammographic pressure. We look into how including patient-specific material parameters, which are automatically calculated from USCT images, affects the design. The strategy was deliberately assessed utilizing mathematical apparitions and in-vivo information. Using the automated registration, the average accuracy of the registration was 11.9 mm. In view of the enrolled pictures a strategy for examination of the demonstrative worth of the USCT pictures was created and at first applied to dissect sound speed and constriction pictures in light of X-beam mammograms as ground truth. Joining sound speed and weakening permits separating injuries from encompassing tissue. Overlaying this data on mammograms consolidates quantitative and morphological data for multimodal determination.
Advancements in medical imaging have led to the emergence of 3D mammography as a transformative technology in breast health assessment. Also known as digital breast tomosynthesis (DBT), 3D mammograms provide a threedimensional view of breast tissue, offering significant improvements in early detection of breast cancer and reducing false-positive results.