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GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer
arXiv:2606.09453v1 Announce Type: new Abstract: Biochemical recurrence (BCR) after radical prostatectomy is a critical endpoint in prostate cancer, yet risk stratification relies almost entirely on variables dominated by Gleason grade. Whether H&E whole slide images (WSIs) carry prognostic signal beyond grade, and whether multiple instance learning (MIL) can recover it, remains unsettled.
LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification
Announce Type: new Abstract: Multiple instance learning (MIL) has become a standard paradigm for whole slide image (WSI) analysis in digital pathology, as it enables slide-level prediction without dense annotations. Existing MIL methods typically rely on exhaustive extraction and encoding of high-resolution patches. However, this practice suffers from two critical limitations in real-world clinical settings: it struggles to capture global visual cues at lower magnifications, and incurs...
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
arXiv:2606.06224v2 Announce Type: replace Abstract: Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that highlight influential regions but do not explain how evidence from different tissue regions is combined to produce a prediction. This limits interpretability, especially when decisions depend on interactions between tissue features.
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Announce Type: new Abstract: Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that highlight influential regions but do not explain how evidence from different tissue regions is combined to produce a prediction. This limits interpretability, especially when decisions depend on interactions between tissue features.
In-Context Multiple Instance Learning
arXiv:2606.06458v1 Announce Type: new Abstract: Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied in fields ranging from computational pathology to satellite imagery. Nevertheless, existing algorithms struggle in the low-label regime that characterizes many real-world applications. Flexible models overfit and rigid ones fail to adapt to the task at hand.
Fantasy Baseball Forecaster for Week 10: June 1-7
Week 10 marks the turn of the calendar to June. The first week of the month brings a relatively quiet 93-game week, beginning with nine evening affairs on Monday. Tuesday features 15 games under the lights, with the first matinee set for Wednesday.
ASUS's ExpertBook B5 Flip G2 is a 2.9 pound 360 touchscreen laptop
ASUS's ExpertBook B5 Flip G2 is a 2.9 pound 360 touchscreen laptop The company also revealed the Zenbook 14 with three different processor options. Along with the upcoming ProArt P-series laptops that will run NVIDIA's new RTX Spark processor, ASUS has unveiled several other Windows laptops at Computex. Those include a new ExpertBook convertible model and Expertbook business laptop, along with three new Zenbook 14 models running Intel, AMD and Qualcomm Snapdragon processors.
Satellite gravity constraints on inner core viscosity and LLVPs density anomalies
arXiv:2606.09296v1 Announce Type: new Abstract: Constraining the physical properties of Earth's deep interior, particularly the viscosity of the solid inner core and the density structure of large low-velocity provinces (LLVPs), remains a major challenge in geophysics. Here we develop a unified dynamical framework that combines mantle-inner core gravitational coupling (MICG) with torsional oscillations in the fluid outer core and show that their interaction can produce a distinct and...
Passan's latest trade intel on all 30 MLB teams: B...
Major League Baseball's trade season is fast approaching, and the sport's cramped standings are providing little clarity on who's likeliest to end up where. There are too many contenders -- and too many teams whose dreams of contention remain -- to figure out how this deadline is likely to operate. At this time last year, remember, the Milwaukee Brewers, who wound up winning a major league-best 97 games, were barely above .500.
Who are your club's future stars? Updated top 10 p...
As we enter June, it's time for our next team-by-team MLB prospect rankings big board update. We've revised the top 10 prospects for all 30 teams. What has changed since May?