Digital Pathology in Endocrine Disorders

Articles (4 in this collection)

1. Artificial Intelligence Detected the Relationship Between Nuclear Morphological Features and Molecular Abnormalities of Papillary Thyroid Carcinoma

   Authors (first, second and last of 11)

   • Toui Nishikawa
   • Ibu Matsuzaki
   • Shin-ichi Murata

   • Content type: Research
   • Published: 02 January 2024

   • Pages: 40 - 50

   

2. Morphometric Analysis of Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Digital Pathology

   Authors (first, second and last of 7)

   • Chae A Kim
   • Hyeong Rok An
   • Dong Eun Song

   • Content type: Research
   • Published: 08 December 2023

   

3. A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model

   Authors

   • Faridul Haq
   • Andrey Bychkov
   • Chan Kwon Jung

   • Content type: OriginalPaper
   • Published: 14 October 2022

   • Pages: 472 - 483

   

4. Comparison of Three Ki-67 Index Quantification Methods and Clinical Significance in Pancreatic Neuroendocrine Tumors

   Authors (first, second and last of 6)

   • Trynda N. Kroneman
   • Jesse S. Voss
   • Lizhi Zhang

   • Content type: OriginalPaper
   • Published: 14 June 2015

   • Pages: 255 - 262