Dear Colleagues, Join us at *IAMG 2026* in Montréal for our session: *"Advances in Image Analysis and Machine Learning Algorithms for Quantitative Petrography: From Mineral Separates to Core Logging"* *https://www.iamgconferences.org/iamg2026/program.php?tok=L1d4805d9378d <https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.iamgconferences.org%2Fiamg2026%2Fprogram.php%3Ftok%3DL1d4805d9378d&data=05%7C02%7Calback%40etu.uqac.ca%7Cfb07abad28854231e29308de52dc3d42%7Cc97978b1bd4c44b59bbb20215efdf611%7C0%7C0%7C639039303030289454%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=j0Y%2FHzmodvYPDzelJgkLhJubi%2FhwmQlfyW%2FTvDW8ZmE%3D&reserved=0>* *Session description:* Mineral identification and segmentation are challenging yet crucial tasks in most geological studies. Conventional petrography, which depends on written descriptions, lacks numerical precision and is susceptible to inaccuracies and discrepancies. However, with the growing availability of imaging systems and recent advances in computer image analysis, the potential of quantitative petrography has increased significantly. Recent deep learning algorithms have made substantial progress in the area of mineral identification in thin sections, crushed and unconsolidated sediments. They now boast accuracy rates approaching 90%. There have been significant advancements in the segmentation of minerals in thin sections and drilling core images. However, developing a general model applicable to diverse geological contexts, including igneous, sedimentary, metamorphic, hydrothermally altered rocks, and mineral deposits, remains a challenge. Finally, quantitative descriptions of mineral shapes, which are essential for interpreting geological processes, have also seen substantial progress. This session invites talks on mineral identification and segmentation, quantitative petrography, and core logging processes. We encourage participants to present their work on these subjects, highlighting any innovative methods or cutting-edge technologies that address current challenges. *When:* 23-28 August 2026 *Where:* Montréal, Canada, IAMG 2026 Interested in presenting? Submit your abstract by deadline, March 16, 2026. *Link to submit your abstract:* https://www.iamgconferences.org/iamg2026/submit.php?tok=L1d4805d9378d Looking forward to seeing you there! Best, Arnaud L. Back, L.Paul Bédard, Julien Maitre & Kevin Bouchard