Mariana Henrique da Silva
Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil
ABSTRACT
The number of start-ups entering the market forces established firms to develop novel, game-changing solutions in the increasingly competitive digital pathology space. This paper focuses on slide digitization technologies and image analysis algorithms since they have the greatest innovation index, even if digital pathology also encompasses slide digitalization, image storage and management systems, and image analysis algorithms. To overcome the shortcomings of traditional histopathology procedures, the latest generation of digital pathology employs sophisticated image analysis and whole-tissue slide digitization. Complete slide scanning technologies do away with the possibility of damaging slides and the requirement for time-consuming physical slide storage and transit to the pathologist. Modern AI-based image analysis methods overcome the limitations of traditional computational pathology's image characterization skills. The adoption of digital pathology solutions is also influenced by the need for pathologists and the analytical limitations of conventional histopathology. Examining research papers and debating interpretation with clients and colleagues is crucial to diagnostic histopathology and cytology. A multi-headed microscope is frequently used for new employee training, necessitating several instructional slides from the archives. On the other hand, digital slides created with our scanner will have higher resolution and may be quickly shared with trainees, physicians, students, and other expert pathologists worldwide. To promote learning and growth more broadly, we will share this material and create training examples for the digital archive continuously. Giving second further advantages may be accomplished quickly by exchanging digital slides. Surgical margin measurements and more accurate data may be obtained using the more exact, calibrated, and standardized digital photographs rather than the typical glass slide. The digital pathology platform makes it easier to inspect several digital slides' side-by-side, facilitating more effective diagnosis.
Keywords: Innovation (II), Digital Pathology (DP), Automated Analysis System (AAS), Diagnostic Accuracy (DA), Brazil (B) .
